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Displaying results 151 to 175 of 337.

  1. Estimating the anomaly base rate
    Author: Chinco, Alexander M.; Neuhierl, Andreas; Weber, Michael
    Published: November 2019
    Publisher:  National Bureau of Economic Research, Cambridge, MA

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    Series: Working paper series / National Bureau of Economic Research ; 26493
    Subjects: Kapitalmarkttheorie; Data Mining; Bayes-Statistik; Regressionsanalyse; Schätztheorie
    Scope: 60 Seiten, Illustrationen
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    Erscheint auch als Online-Ausgabe
  2. Wissensentdeckung im Kontext der Produktionssimulation
    Author: Feldkamp, Niclas
    Published: 2020
    Publisher:  Universitätsverlag Ilmenau, Ilmenau ; Universitätsbibliothek

    Die diskrete Simulation stellt eine wichtige und etablierte Methode zur Untersuchung des dynamischen Verhaltens von komplexen Produktions- und Logistiksystemen dar. Sie ist daher zur Planung, Steuerung und Kontrolle solcher Systeme unerlässlich,... more

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    Die diskrete Simulation stellt eine wichtige und etablierte Methode zur Untersuchung des dynamischen Verhaltens von komplexen Produktions- und Logistiksystemen dar. Sie ist daher zur Planung, Steuerung und Kontrolle solcher Systeme unerlässlich, beispielsweise in der Automobilindustrie oder in der Halbleiterfertigung. Klassische Simulationsstudien zielen in diesem Kontext üblicherweise darauf ab, typische, vorab definierte Fragestellungen zu beantworten. Dies geht oftmals einher mit der Simulation und Analyse einiger weniger vorab definierter Szenarien. Wirkzusammenhänge, die über diesen definierten Projektrahmen hinausgehen, bleiben daher eventuell unentdeckt. Auf der anderen Seite erwachsen mit steigender Rechenleistung und der allgemeinen Verfügbarkeit von Big-Data-Infrastrukturen neue Möglichkeiten zur Durchführung von sehr großen Bandbreiten von Simulationsexperimenten, um das Verhalten des Modells möglichst vollständig abzudecken und automatisiert auszuwerten. Dies wird allgemein als Data Farming bezeichnet. Ziel dieser Arbeit war es, die Methode des Data Farming für die Nutzung zur Wissensentdeckung in Produktionssimulationen zu übertragen und weiterzuentwickeln. Dazu wurde ein ganzheitliches Konzept ausgearbeitet, um unbekannte, versteckte und potenziell nützliche Wirkzusammenhänge in großen Mengen von Simulationsdaten entdecken zu können. Das Konzept beinhaltet hierzu die Auswahl geeigneter Experimentdesignmethoden, die Anwendung und Ausgestaltung von geeigneten Data-Mining-Verfahren in einem dafür zweckmäßigen und zielgerichteten Analyseprozess sowie die Definition geeigneter Visualisierungs- und Interaktionsmethoden zur iterativen, anwenderorientierten Analyse großer Mengen von Simulationsdaten. Darüber hinaus wurde das Konzept in einem ganzheitlichen Softwareframework prototypisch implementiert. Die Anwendbarkeit des Konzeptes wurde anhand von vier Fallstudien aufgezeigt und validiert. Die Fallstudien beinhalteten hierbei zwei akademische Laborstudien sowie zwei Industrieanwendungsfälle.

     
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    Source: Union catalogues
    Contributor: Straßburger, Steffen (AkademischeR BetreuerIn); Schulze, Thomas (AkademischeR BetreuerIn)
    Language: German
    Media type: Dissertation
    Format: Online
    Other identifier:
    RVK Categories: QP 500 ; QP 542
    Subjects: Produktionssystem; Simulation; Data Mining; Wissensextraktion
    Scope: 1 Online-Ressource (XII, 217, XIV-XX Seiten), Diagramme, Illustrationen (teilweise farbig)
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    Dissertation, Technische Universität Ilmenau, 2019
  3. Seasonality fingerprint on global trading of food-commodities
    a data-mining approach
    Author: Quaini, Stefania; Saccani, Sebastiano; Vergalli, Sergio; Assom, Luigi; Beria, Marco; Codello, Alessandro; Monaco, Maurizio; Sabatini, Riccardo
    Published: October 2020
    Publisher:  Fondazione Eni Enrico Mattei, Milano, Italia

    We analyze the United Nations commodities trade database (UN comtrade), comprised of international commodities exchanges in volume and price with monthly resolution. We introduce a trade impact index to quantify the impact, in terms of distance... more

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    We analyze the United Nations commodities trade database (UN comtrade), comprised of international commodities exchanges in volume and price with monthly resolution. We introduce a trade impact index to quantify the impact, in terms of distance travelled, of importing a specific food raw commodity in a specific period of the year and in a specific country of the world. This index captures the seasonal exchange of raw commodities in an insightful and concise manner.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/228791
    Series: Array ; 2020, 015
    Subjects: Trade; Food Commodities; Resource Access and Availability; Index; Fingerprint; Data Mining
    Scope: 1 Online-Ressource (circa 15 Seiten), Illustrationen
  4. Essays on text mining
    methodological advances and practical applications to scientific texts
    Author: Rüdiger, Matthias Sebastian
    Published: 2020

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    Staats- und Universitätsbibliothek Bremen
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    Content information
    Source: Union catalogues
    Language: English
    Media type: Dissertation
    Format: Print
    Subjects: Text; Data Mining; Bibliometrie; Wissenschaftliche Methode; Theorie
    Scope: x, 213 Seiten, Illustrationen, Diagramme
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    Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2020
  5. Análisis de sentimiento basado en el informe de percepciones de negocios del Banco Central de Chile
    Author: Pilar Cruz, María del; Peralta, Hugo; Ávila, Bruno
    Published: 2020
    Publisher:  Banco Central de Chile, Santiago, Chile

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    Source: Union catalogues
    Language: Spanish
    Media type: Book
    Format: Online
    Series: Documentos de trabajo / Banco Central de Chile ; no 862 (enero 2020)
    Subjects: Zentralbank; Lagebericht; Frühindikator; Data Mining; Text; Wissensrepräsentation; Chile; Sentiment Analysis; Sentimentanalyse
    Scope: 1 Online-Ressource (circa 34 Seiten), Illustrationen
  6. ¿Qué tan rígidos son los precios en línea?
    evidencia para Perú usando big data
    Author: Coronado, Hilary; Lahura, Erick; Vega, Marco
    Published: [2020]
    Publisher:  [Banco Central de Reserva del Perú], [Lima, Peru]

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    Source: Union catalogues
    Language: Spanish
    Media type: Book
    Format: Online
    Series: Serie de documentos de trabajo / Banco Central de Reserva del Perú ; DT. no. 2020, 018 (diciembre 2020)
    Subjects: Online-Handel; Einzelhandelspreis; Big Data; Data Mining; Peru
    Scope: 1 Online-Ressource (circa 36 Seiten), Illustrationen
  7. Research methods for reading digital data in the digital humanities
    Published: [2016]
    Publisher:  Edinburgh University Press, Edinburgh

    8 Knowing Your Crowd: An Essential Component to Crowdsourcing Research9 Fantasies of Scientificity: Ethnographic Identity and the Use of QDA Software; 10 Digital Network Analysis: Understanding Everyday Online Discourse Micro- and Macroscopically; 11... more

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    Hochschule Aalen, Bibliothek
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    8 Knowing Your Crowd: An Essential Component to Crowdsourcing Research9 Fantasies of Scientificity: Ethnographic Identity and the Use of QDA Software; 10 Digital Network Analysis: Understanding Everyday Online Discourse Micro- and Macroscopically; 11 Dealing with Big Data; Notes on Contributors; Index. Research Methods for Reading Digital Data in the Digital Humanities; Copyright; Contents; Acknowledgements; 1 Introduction; 2 Matter Matters: The Effects of Materiality and the Move from Page to Screen; 3 Reading the Visual Page in the Digital Archive; 4 Paratextual Navigation as a Research Method: Fan Fiction Archives and Reader Instructions; 5 Data Mining and Word Frequency Analysis; 6 Reading Twitter: Combining Qualitative and Quantitative Methods in the Interpretation of Twitter ; 7 Reading Small Data in Indigenous Contexts: Ethical Perspectives. The first volume centred on the navigation and interpretation of digital material as research methods in the Humanities

     
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    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9781474409629
    Series: Research methods for the arts and humanities
    Subjects: Humanities; Humanities; Digital media; REFERENCE ; Questions & Answers; Digital media; Humanities ; Research ; Methodology; Digital Humanities; Data Mining; Methode
    Scope: 1 Online-Ressource (vi, 214 pages), illustrations
    Notes:

    Includes bibliographical references and index
  8. Lied und populäre Kultur / Song and Popular Culture 65/2020
    Jahrbuch des Zentrums für Populäre Kultur und Musik 65. Jahrgang – 2020. Populäre Lieder im langen 19. Jahrhundert Popular Songs in the Long 19th Century
    Contributor: Holtsträter, Knut (HerausgeberIn); Widmaier, Tobias (HerausgeberIn)
    Published: 2021, c2020
    Publisher:  Waxmann, Münster

    Das Jahrbuch „Lied und populäre Kultur“ 65/2020 ist den populären Liedern des langen 19. Jahrhunderts gewidmet, sind diese doch in doppelter Hinsicht Marginalisierungen unterworfen: einerseits dem negativen Werturteil der historischen... more

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    Das Jahrbuch „Lied und populäre Kultur“ 65/2020 ist den populären Liedern des langen 19. Jahrhunderts gewidmet, sind diese doch in doppelter Hinsicht Marginalisierungen unterworfen: einerseits dem negativen Werturteil der historischen Musikwissenschaft, zum anderen dem Desinteresse der aktuellen Popmusikforschung. Als Vorschlag zu einer Verständigung sollen diese Lieder als Ausdruck einer die Welt verändernden Epoche zwischen Spätaufklärung und Erstem Weltkrieg betrachtet und in ihren kulturellen Kontexten verortet werden.

     
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    Source: Union catalogues
    Contributor: Holtsträter, Knut (HerausgeberIn); Widmaier, Tobias (HerausgeberIn)
    Language: German; English
    Media type: Ebook
    Format: Online
    ISBN: 9783830992813
    Other identifier:
    9783830992813
    Edition: 1st, New ed.
    Series: Lied und populäre Kultur / Song and Popular Culture ; 65
    Subjects: 19. Jahrhundert; Couplet; Data Mining; Digital Humanities; englische Ballads; englische Songs; Ernestine de Baudin; Festival Internazionale della Canzone; Hermann Riedel; Highwayman Ballads; Mondinha; NS-Liederbuch; politisches Lied; Text Mining; Volksmusik und populäre Musikkulturen; Komm'; Karline; komm'
    Scope: 1 online resource (300 p.)
    Notes:

    Online resource; title from title screen (viewed May 11, 2021)
  9. Big Data in Finance
    Author: Goldstein, Itay; Spatt, Chester S.; Ye, Mao
    Published: 2021
    Publisher:  National Bureau of Economic Research, Cambridge, Mass

    Big data is revolutionizing the finance industry and has the potential to significantly shape future research in finance. This special issue contains articles following the 2019 NBER/ RFS conference on big data. In this Introduction to the special... more

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    Big data is revolutionizing the finance industry and has the potential to significantly shape future research in finance. This special issue contains articles following the 2019 NBER/ RFS conference on big data. In this Introduction to the special issue, we define the "Big Data" phenomenon as a combination of three features: large size, high dimension, and complex structure. Using the articles in the special issue, we discuss how new research builds on these features to push the frontier on fundamental questions across areas in finance - including corporate finance, market microstructure, and asset pricing. Finally, we offer some thoughts for future research directions

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
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    Series: NBER working paper series ; no. w28615
    Subjects: Big Data; Data Mining; Finanzsektor; Unternehmensfinanzierung; Marktmikrostruktur; Kapitalmarkttheorie
    Scope: 1 Online-Ressource, illustrations (black and white)
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    Hardcopy version available to institutional subscribers
  10. Exploring big historical data
    the historian's macroscope
    Author: Graham, Shawn; Milligan, Ian; Weingart, Scott B.; Martin, Kim
    Published: [2022]; © 2022
    Publisher:  World Scientific, New Jersey

    "Every day, more and more kinds of historical data become available, opening exciting new avenues of inquiry but also new challenges. This updated and expanded book describes and demonstrates the ways these data can be explored to construct cultural... more

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    "Every day, more and more kinds of historical data become available, opening exciting new avenues of inquiry but also new challenges. This updated and expanded book describes and demonstrates the ways these data can be explored to construct cultural heritage knowledge, for research and in teaching and learning. It helps humanities scholars to grasp Big Data in order to do their work, whether that means understanding the underlying algorithms at work in search engines or designing and using their own tools to process large amounts of information. Demonstrating what digital tools have to offer and also what 'digital' does to how we understand the past, the authors introduce the many different tools and developing approaches in Big Data for historical and humanistic scholarship, show how to use them, what to be wary of, and discuss the kinds of questions and new perspectives this new macroscopic perspective opens up. Originally authored 'live' online with ongoing feedback from the wider digital history community, Exploring Big Historical Data breaks new ground and sets the direction for the conversation into the future. Exploring Big Historical Data should be the go-to resource for undergraduate and graduate students confronted by a vast corpus of data, and researchers encountering these methods for the first time. It will also offer a helping hand to the interested individual seeking to make sense of genealogical data or digitized newspapers, and even the local historical society who are trying to see the value in digitizing their holdings"--

     
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    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9789811243042
    RVK Categories: NB 2700
    Edition: Second edition
    Subjects: History; Big data; Historiography; History; Geschichtswissenschaft; Digital Humanities; Historische Methode; Data Mining; Taxonomie; Visualisierung; Netzwerkanalyse <Soziologie>
    Scope: 1 Online-Ressource (xxvi, 278 Seiten)
  11. Computational linguistics and intelligent text processing
    20th International Conference, CICLing 2019, La Rochelle, France, April 7-13, 2019, revised selected papers
    Contributor: Gelbukh, Alexander (HerausgeberIn)
    Published: [2023]
    Publisher:  Springer, Cham

    The two-volume set LNCS 13451 and 13452 constitutes revised selected papers from the CICLing 2019 conference which took place in La Rochelle, France, April 2019.The total of 95 papers presented in the two volumes was carefully reviewed and selected... more

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    The two-volume set LNCS 13451 and 13452 constitutes revised selected papers from the CICLing 2019 conference which took place in La Rochelle, France, April 2019.The total of 95 papers presented in the two volumes was carefully reviewed and selected from 335 submissions. The book also contains 3 invited papers.The papers are organized in the following topical sections: General, Information extraction, Information retrieval, Language modeling, Lexical resources, Machine translation, Morphology, sintax, parsing, Name entity recognition, Semantics and text similarity, Sentiment analysis, Speech processing, Text categorization, Text generation, and Text mining

     
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    Source: Union catalogues
    Contributor: Gelbukh, Alexander (HerausgeberIn)
    Language: English
    Media type: Conference proceedings
    Format: Print
    Corporations / Congresses: CICLing, 20. (2019, La Rochelle)
    Series: Lecture notes in computer science
    Subjects: COMPUTERS / Artificial Intelligence; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Data Processing / Storage & Retrieval; COMPUTERS / Database Management / Data Mining; COMPUTERS / Database Management / General; COMPUTERS / Programming / General; Computer programming / software development; Data Mining; Data Warehousing; Data mining; Databases; Datenbanken; Information retrieval; Informationsrückgewinnung, Information Retrieval; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Theoretische Informatik; Wissensbasierte Systeme, Expertensysteme
    Notes:

    Artificial intelligence.- Natural language processing.- Information extraction.- Lexical semantics.- Natural language generation.- Language resources.- Phonology .- Morphology.- Discourse.- Dialogue and pragmatics.
  12. Computational linguistics and intelligent text processing
    20th International Conference, CICLing 2019, La Rochelle, France, April 7-13, 2019, revised selected papers – Part 2
    Contributor: Gelbukh, Alexander (HerausgeberIn)
    Published: [2023]
    Publisher:  Springer, Cham

    The two-volume set LNCS 13451 and 13452 constitutes revised selected papers from the CICLing 2019 conference which took place in La Rochelle, France, April 2019.The total of 95 papers presented in the two volumes was carefully reviewed and selected... more

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    The two-volume set LNCS 13451 and 13452 constitutes revised selected papers from the CICLing 2019 conference which took place in La Rochelle, France, April 2019.The total of 95 papers presented in the two volumes was carefully reviewed and selected from 335 submissions. The book also contains 3 invited papers.The papers are organized in the following topical sections: General, Information extraction, Information retrieval, Language modeling, Lexical resources, Machine translation, Morphology, sintax, parsing, Name entity recognition, Semantics and text similarity, Sentiment analysis, Speech processing, Text categorization, Text generation, and Text mining

     
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  13. Experimental IR Meets Multilinguality, Multimodality, and Interaction
    15th International Conference of the CLEF Association, CLEF 2024, Grenoble, France, September 9-12, 2024, Proceedings, Part II
    Contributor: Di Nunzio, Giorgio Maria (HerausgeberIn); Faggioli, Guglielmo (HerausgeberIn); Ferro, Nicola (HerausgeberIn); Galuscáková, Petra (HerausgeberIn); García Seco de Herrera, Alba (HerausgeberIn); Goeuriot, Lorraine (HerausgeberIn); Mulhem, Philippe (HerausgeberIn); Quénot, Georges (HerausgeberIn); Schwab, Didier (HerausgeberIn); Soulier, Laure (HerausgeberIn)
    Published: 2024
    Publisher:  Springer International Publishing AG, Cham

    The two volume set LNCS 14958 + 14959 constitutes the proceedings of the 15th International Conference of the CLEF Association, CLEF 2024, held in Grenoble, France, during September 9-12, 2024. The proceedings contain 11 conference papers; 6 best of... more

     

    The two volume set LNCS 14958 + 14959 constitutes the proceedings of the 15th International Conference of the CLEF Association, CLEF 2024, held in Grenoble, France, during September 9-12, 2024. The proceedings contain 11 conference papers; 6 best of CLEF 2023 Labs' papers, and 14 Lab overview papers accepted from 45 submissions. In addition an overview paper on the CLEF activities in the last 25 years is included. The CLEF conference and labs of the evaluation forum deal with topics in information access from different perspectives, in any modality and language, focusing on experimental information retrieval (IR)

     
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    Contributor: Di Nunzio, Giorgio Maria (HerausgeberIn); Faggioli, Guglielmo (HerausgeberIn); Ferro, Nicola (HerausgeberIn); Galuscáková, Petra (HerausgeberIn); García Seco de Herrera, Alba (HerausgeberIn); Goeuriot, Lorraine (HerausgeberIn); Mulhem, Philippe (HerausgeberIn); Quénot, Georges (HerausgeberIn); Schwab, Didier (HerausgeberIn); Soulier, Laure (HerausgeberIn)
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9783031719073
    Edition: 2024 ed
    Series: Lecture Notes in Computer Science
    Subjects: COM087020; COM094000; COMPUTERS / Data Processing / Storage & Retrieval; COMPUTERS / Database Management / Data Mining; COMPUTERS / Database Management / Data Warehousing; COMPUTERS / Expert Systems; COMPUTERS / Natural Language Processing; Data Mining; Data Warehousing; Data mining; Data warehousing; Expert systems / knowledge-based systems; Grafische und digitale Media-Anwendungen; Graphical & digital media applications; Information retrieval; Informationsrückgewinnung, Information Retrieval; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung
    Scope: 336 Seiten
    Notes:

    Lab Overviews.- Overview of BioASQ 2024 The twelfth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering.- Overview of the CLEF2024 CheckThat Lab Check Worthiness, Subjectivity, Persuasion, Roles, Authorities and Adversarial Robustness.- Overview of ELOQUENT 2024 shared tasks for evaluating generative language model quality.- Overview of eRisk 2024 Early Risk Prediction on the Internet.- Overview of EXIST 2024 Learning with Disagreement for Sexism Identification and Characterization in Tweets and Memes.- Intelligent Disease Progression Prediction Overview of iDPP CLEF 2024.- Overview of the ImageCLEF 2024 Multimedia retrieval in medical applications.- Overview of JOKER CLEF 2024 Automatic Humour Analysis.- Overview of LifeCLEF 2024 Challenges on Species Distribution Prediction and Identification.- Overview of the CLEF 2024 LongEval Lab on Longitudinal Evaluation of Model Performance.- Overview of PAN 2024 Multi Author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification.- Overview of QuantumCLEF 2024 The Quantum Computing Challenge for Information Retrieval and Recommender Systems at CLEF.- Overview of the CLEF 2024 SimpleText Track Improving Access to Scientific Texts for Everyone.- Overview of Touche 2024 Argumentation Systems.
  14. Deep learning theory and applications
    Part 1
    Contributor: Fred, Ana (HerausgeberIn); Hadjajli, Allel (HerausgeberIn); Gusikhin, Oleg (HerausgeberIn); Sansone, Carlo (HerausgeberIn)
    Published: [2024]; © 2024
    Publisher:  Springer, Cham

    The two-volume set CCIS 2171 and 2172 constitutes the refereed best papers from the 5th International Conference on Deep Learning Theory and Applications, DeLTA 2024, which took place in Dijon, France, during July 10-11, 2024. The 44 papers included... more

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    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
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    The two-volume set CCIS 2171 and 2172 constitutes the refereed best papers from the 5th International Conference on Deep Learning Theory and Applications, DeLTA 2024, which took place in Dijon, France, during July 10-11, 2024. The 44 papers included in these proceedings were carefully reviewed and selected from a total of 70 submissions. They focus on topics such as deep learning and big data analytics; machine-learning and artificial intelligence, etc

     
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    Source: Union catalogues
    Contributor: Fred, Ana (HerausgeberIn); Hadjajli, Allel (HerausgeberIn); Gusikhin, Oleg (HerausgeberIn); Sansone, Carlo (HerausgeberIn)
    Language: English
    Media type: Conference proceedings
    Format: Print
    ISBN: 9783031666933
    Parent title: Deep learning theory and applications - Show all bands
    Corporations / Congresses: International Conference on Deep Learning Theory and Applications, 5. (2024, Dijon)
    Series: Communications in computer and information science ; 2171
    Subjects: COM094000; COMPUTERS / Computer Science; COMPUTERS / Database Management / Data Mining; COMPUTERS / Expert Systems; COMPUTERS / Natural Language Processing; Data Mining; Data mining; Expert systems / knowledge-based systems; Information technology: general issues; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Wissensbasierte Systeme, Expertensysteme
    Scope: xxiii, 367 Seiten, Illustrationen, Diagramme
    Notes:

    Literaturangaben

    Deep Learning for Wearable Biometrics.- A Deep Learning-Based Plant Disease Detection and Classification for Arabica Coffee Leaves.- CNN-N-BEATS: Novel Hybrid Model for Time-Series Forecasting.- Development and Applications of Gesture-Controlled Drones: Advances in Hand Gesture Recognition for Aerial Navigation.- Towards Natural-Sounding Speech to Text in English.- Scoping Review of Active Learning Strategies and Their Evaluation Environments for Entity Recognition Tasks.- Solar Activity Impact on Firefighter Interventions: Factors Analysis.- Detecting Flow via a Machine Learning Model in a MOOC Context.- Online Job Posting Authenticity Prediction with Machine and Deep Learning: Performance Comparison Between N-Gram and TF-IDF.- Evolving Deep Architectures: A New Blend of CNNs and Transformers Without Pre-Training Dependencies.-Closing the Sim-to-Real Gap: Enhancing Autonomous Precision Landing of UAVs with Detection-Informed Deep Reinforcement Learning.- Mitigating Class Imbalance in Healthcare AI Image Classification: Evaluating the Efficacy of Existing Generative Adversarial Network.- More than Noise: Assessing the Viscosity of Food Products Based on Sound Emission.- Vector Analysis of Deep Neural Network Training Process.- Secure Coalition Formation for Federated Machine Learning.- Action Conditioned Attention Encoder-Decoder and Discriminator for Human Motion Generation.- Citation Polarity Identification in Scientific Research Articles Using Deep Learning Methods.- Exploring Physiology-Based Classification of Flow During Musical Improvisation in Mixed Reality.- Refining Weights for Enhanced Object Similarity in Multi-Perspective 6D of Pose Estimation and 3D Object Detection.- End-to-End Video Surveillance Framework for Anomaly Detection and Person Re-Identification.- Few-Shot Learning with Novelty Detection.
  15. Deep learning theory and applications
    Part 2
    Contributor: Fred, Ana (HerausgeberIn); Hadjajli, Allel (HerausgeberIn); Gusikhin, Oleg (HerausgeberIn); Sansone, Carlo (HerausgeberIn)
    Published: [2024]; © 2024
    Publisher:  Springer, Cham

    The two-volume set CCIS 2171 and 2172 constitutes the refereed papers from the 5th INternational Conference on Deep Learning Theory and Applications, DeLTA 2024, which took place in Dijon, France, during July 10-11, 2024. The 44 papers included in... more

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    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
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    RS 7445(2172)
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    The two-volume set CCIS 2171 and 2172 constitutes the refereed papers from the 5th INternational Conference on Deep Learning Theory and Applications, DeLTA 2024, which took place in Dijon, France, during July 10-11, 2024. The 44 papers included in these proceedings were carefully reviewed and selected from a total of 70 submissions. They focus on topics such as deep learning and big data analytics; machine-learning and artificial intelligence, etc

     
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    Source: Union catalogues
    Contributor: Fred, Ana (HerausgeberIn); Hadjajli, Allel (HerausgeberIn); Gusikhin, Oleg (HerausgeberIn); Sansone, Carlo (HerausgeberIn)
    Language: English
    Media type: Conference proceedings
    Format: Print
    ISBN: 9783031667046
    Parent title: Deep learning theory and applications - Show all bands
    Corporations / Congresses: International Conference on Deep Learning Theory and Applications, 5. (2024, Dijon)
    Series: Communications in computer and information science ; 2172
    Subjects: Angewandte Informatik; COM094000; COMPUTERS / Computer Science; COMPUTERS / Database Management / Data Mining; COMPUTERS / Expert Systems; COMPUTERS / Natural Language Processing; Data Mining; Data mining; Expert systems / knowledge-based systems; Information technology: general issues; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Wissensbasierte Systeme, Expertensysteme
    Scope: xvii, 389 Seiten, Illustrationen, Diagramme
    Notes:

    Literaturangaben

    Geometrical Realization for Time Series Forecasting.- Brains over Brawn: Small AI Labs in the Age of Datacenter-Scale Compute.- Time Series Prediction for Anomalies Detection in Concentrating Solar Power Plants Using Long Short-Term Memory N Networks.- Bayes Classification Using an Approximation to the Joint Probability Distribution of the Attributes.- Pollutant Source Localization Based on Siamese Neural Network Similarity Measure.- Automatic Emotion Analysis in Movies: Matteo Garrone's Dogman as a Case Study.- Empowering Cybersecurity: CyberShield AI Advanced Integration of Machine Learning and Deep Learning for Dynamic Ransomware Detection.- Empirical Performance of Deep Learning Models with Class Imbalance for Crop Disease Classification.- Automating the Conducting of Surveys Using Large Language Models.- Computer Vision Based Monitoring System for Flotation in Mining Industry 4.0.- Self-Supervised Learning for Robust Surface Defect Detection.- Efficient Deep Neural Network Verification with QAP-Based zkSNARK.- Version 8 of YOLO for Wildfire Detection.- Investigating a Semantic Similarity Loss Function for the Parallel Training of Abstractive and Extractive Scientific Document Summarizers.- Deep Learning-Based Preprocessing Tools for Turkish Natural Language Processing.- Skin Cancer Classification: A Comparison of CNN-Backbones for Feature-Extraction.- Multilingual Detection of Cyberbullying on Social Networks Using a Fine-Tuned GPT-3.5 Model.- Detecting Big-5 Personality Dimensions from Text Based on Large Language Models.- ME-ODAL: Mixture-of-Experts Ensemble of CNN Models for 3D Object Detection from Automotive LiDAR Point Clouds.- BitNet b1.58 Reloaded: State-of-the-Art Performance Also on Smaller Networks.- Deep Learning for Cattle Face Identification.- OBBabyFace: Oriented Bounding Box for Infant Face Detection.- EEG-Based Patient Independent Epileptic Seizure Detection Using GCN-BRF.- Predicting Components of a Target Value Versus Predicting the Target Value Directly.
  16. Applied Text Mining
    Author: Qamar, Usman; Raza, Muhammad Summair
    Published: 2024
    Publisher:  Springer International Publishing AG, Cham

    This textbook covers the concepts, theories, and implementations of text mining and natural language processing (NLP). It covers both the theory and the practical implementation, and every concept is explained with simple and easy-to-understand... more

     

    This textbook covers the concepts, theories, and implementations of text mining and natural language processing (NLP). It covers both the theory and the practical implementation, and every concept is explained with simple and easy-to-understand examples. It consists of three parts. In Part 1 which consists of three chapters details about basic concepts and applications of text mining are provided, including eg sentiment analysis and opinion mining. It builds a strong foundation for the reader in order to understand the remaining parts. In the five chapters of Part 2, all the core concepts of text analytics like feature engineering, text classification, text clustering, text summarization, topic mapping, and text visualization are covered. Finally, in Part 3 there are three chapters covering deep-learning-based text mining, which is the dominating method applied to practically all text mining tasks nowadays. Various deep learning approaches to text mining are covered, includingmodels for processing and parsing text, for lexical analysis, and for machine translation. All three parts include large parts of Python code that shows the implementation of the described concepts and approaches. The textbook was specifically written to enable the teaching of both basic and advanced concepts from one single book. The implementation of every text mining task is carefully explained, based Python as the programming language and Spacy and NLTK as Natural Language Processing libraries. The book is suitable for both undergraduate and graduate students in computer science and engineering

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9783031519161
    Edition: 1st ed. 2024
    Subjects: COM094000; COMPUTERS / Data Processing / Storage & Retrieval; COMPUTERS / Database Management / Data Mining; COMPUTERS / Database Management / Data Warehousing; COMPUTERS / Expert Systems; COMPUTERS / Natural Language Processing; Data Mining; Data Warehousing; Data mining; Data warehousing; Expert systems / knowledge-based systems; Information retrieval; Informationsrückgewinnung, Information Retrieval; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Wissensbasierte Systeme, Expertensysteme
    Scope: 494 Seiten
    Notes:

    Part 1: Text Mining Basics.- 1. Introduction to Text Mining.- 2. Text Processing.- 3. Text Mining Applications.- Part 2: Text Analytics.- 4. Feature Engineering for Text Representations.- 5. Text Classification.- 6. Text Clustering.- 7. Text Summarization and Topic Modeling.- 8. Taxonomy Generation and Dynamic Document Organization.- 9. Visualization Approaches.- Part 3: Deep Learning in Text Mining.- 10. Text Mining Through Deep Learning.- 11. Lexical Analysis and Parsing using Deep Learning.- 12. Machine Translation using Deep Learning.
  17. We know your personality!
    An automated personality mining approach on Twitter data
    Author: Klebansky, Michael; Janssen, Antje; Breitner, Michael H.
    Published: (June, 16 2021)
    Publisher:  Institut für Wirtschaftsinformatik, Leibniz Universität Hannover, Hannover, Germany

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    Gottfried Wilhelm Leibniz Bibliothek - Niedersächsische Landesbibliothek
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    7 Kap. 2918
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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    HW 30 (98)
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    Series: IWI discussion paper series ; # 98 (June, 16 2021)
    Subjects: Social Web; Data Mining; Persönlichkeitsmerkmal; Brexit; Meinung; Großbritannien
    Scope: 32 Blätter, Illustrationen
  18. Chinese computational linguistics
    20th China national conference, CCL 2021, Hohhot, China, August 13-15, 2021 : proceedings
    Contributor: Li, Sheng (HerausgeberIn)
    Published: [2021]
    Publisher:  Springer, Cham, Switzerland

    Location:
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
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    RN 2835(12869)
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    Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Bibliothek
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    Source: Union catalogues
    Contributor: Li, Sheng (HerausgeberIn)
    Language: English
    Media type: Conference proceedings
    Format: Print
    ISBN: 9783030841850
    Corporations / Congresses: CCL, 20. (2021, Online)
    Series: Array ; 12869
    Subjects: Data Mining; Maschinelles Lernen; Computerlinguistik
    Scope: xvi, 486 Seiten, Illustrationen, Diagramme
    Notes:

    Aufgrund der Covid-19 Pandemie fand die Konferenz online statt und nicht in Hohhot
  19. Exploring big historical data
    the historian's macroscope
    Author: Graham, Shawn; Milligan, Ian; Weingart, Scott B.; Martin, Kim
    Published: [2022]; © 2022
    Publisher:  World Scientific, New Jersey

    The joys of big data for historians -- The DH moment -- Data mining tools : techniques and visualizations -- Topic modeling : a hands-on adventure in big data -- Making your data legible : a basic introduction to visualizations -- Network analysis --... more

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    BBF | Bibliothek für Bildungsgeschichtliche Forschung in Berlin
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    Max-Planck-Institut für Bildungsforschung, Bibliothek und wissenschaftliche Information
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    2022/634
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    Universitäts- und Landesbibliothek Sachsen-Anhalt / Zentrale
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    NB 2700 115
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    Universitätsbibliothek Heidelberg
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    2023 A 7373
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    Leibniz-Institut für Länderkunde, Geographische Zentralbibliothek
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    The joys of big data for historians -- The DH moment -- Data mining tools : techniques and visualizations -- Topic modeling : a hands-on adventure in big data -- Making your data legible : a basic introduction to visualizations -- Network analysis -- Networks in practice. "Every day, more and more kinds of historical data become available, opening exciting new avenues of inquiry but also new challenges. This updated and expanded book describes and demonstrates the ways these data can be explored to construct cultural heritage knowledge, for research and in teaching and learning. It helps humanities scholars to grasp Big Data in order to do their work, whether that means understanding the underlying algorithms at work in search engines or designing and using their own tools to process large amounts of information. Demonstrating what digital tools have to offer and also what 'digital' does to how we understand the past, the authors introduce the many different tools and developing approaches in Big Data for historical and humanistic scholarship, show how to use them, what to be wary of, and discuss the kinds of questions and new perspectives this new macroscopic perspective opens up. Originally authored 'live' online with ongoing feedback from the wider digital history community, Exploring Big Historical Data breaks new ground and sets the direction for the conversation into the future. Exploring Big Historical Data should be the go-to resource for undergraduate and graduate students confronted by a vast corpus of data, and researchers encountering these methods for the first time. It will also offer a helping hand to the interested individual seeking to make sense of genealogical data or digitized newspapers, and even the local historical society who are trying to see the value in digitizing their holdings"--

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9789811243035; 9789811243981
    RVK Categories: NB 2700
    Edition: Second edition
    Subjects: History; Big data; Historiography; History; Geschichtswissenschaft; Digital Humanities; Historische Methode; Data Mining; Taxonomie; Visualisierung; Netzwerkanalyse <Soziologie>
    Scope: xxvi, 278 Seiten, Illustrationen
    Notes:

    Includes bibliographical references and index
  20. Netzbasierte Ansätze zur natürlichsprachlichen Informationsverarbeitung
    Author: Unger, Herwig; Kubek, Mario; Sukjit, Panchalee
    Published: [2022]; © 2022
    Publisher:  Springer Vieweg, Wiesbaden

    Für Leser, die bereits die Grundlagen der Wissensverarbeitung und Computernetzwerke beherrschen, gibt das Buch einen Überblick über innovative Verfahren, die die automatisierte Suche, Recherche, Klassifikation und Verwaltung von Texten im Kontext... more

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    Badische Landesbibliothek
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    Hochschulbibliothek Reutlingen (Lernzentrum)
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    I 5-900-367
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    Für Leser, die bereits die Grundlagen der Wissensverarbeitung und Computernetzwerke beherrschen, gibt das Buch einen Überblick über innovative Verfahren, die die automatisierte Suche, Recherche, Klassifikation und Verwaltung von Texten im Kontext dezentraler Systeme und vor allem im WWW erlauben. Besondere Aufmerksamkeit wird dabei auf eine personalisierte Verarbeitung gerichtet, die auch zeitliche Aspekte, wie z. B. das digitale Vergessen, einbeziehen. An vielen Stellen werden auf interessante und neuartige Art und Weise Analogien aus anderen Wissensgebieten, so z. B. zur Verarbeitung von Informationen und zum Lernen im menschlichen Gehirn sowie der Natur schlechthin genutzt

     
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    Source: Union catalogues
    Language: German
    Media type: Book
    Format: Print
    ISBN: 9783658372835; 3658372834
    Other identifier:
    9783658372835
    Subjects: Algorithms & data structures; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Database Management / Data Mining; COMPUTERS / Programming / Algorithms; Computer-Anwendungen in Kunst und Geisteswissenschaften; Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften; Data Mining; Data mining; LANGUAGE ARTS & DISCIPLINES / Library & Information Science; Literature: history & criticism; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Theoretische Informatik; Wissensbasierte Systeme, Expertensysteme
    Scope: XII, 179 Seiten, Illustrationen, 24 cm x 16.8 cm
    Notes:

    Wissensverarbeitung im menschlichen Gehirn - Lernen - Netzwerke für die Textanalyse - Digitale Updates und digitales Vergessen - Exploration von Netzwerkstrukturen - Konzepte des Text Minings in dezentralen Systemen - Informationsmanagement im Web
  21. Organizational Structure and Pricing
    Evidence from a Large U.S. Airline
    Author: Hortaçsu, Ali; Natan, Olivia R.; Parsley, Hayden; Schwieg, Timothy; Williams, Kevin R.
    Published: 2021
    Publisher:  National Bureau of Economic Research, Cambridge, Mass

    We study how organizational boundaries affect pricing decisions using comprehensive data from a large U.S. airline. We document that the firm's advanced pricing algorithm, utilizing inputs from different organizational teams, is subject to multiple... more

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    Sächsische Landesbibliothek - Staats- und Universitätsbibliothek Dresden
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    Universitätsbibliothek Freiburg
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    Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky
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    We study how organizational boundaries affect pricing decisions using comprehensive data from a large U.S. airline. We document that the firm's advanced pricing algorithm, utilizing inputs from different organizational teams, is subject to multiple biases. To quantify the impacts of these biases, we estimate a structural demand model using sales and search data. We recover the demand curves the firm believes it faces using forecasting data. In counterfactuals, we show that correcting biases introduced by organizational teams individually have little impact on market outcomes, but coordinating organizational outcomes leads to higher prices/revenues and increased dead-weight loss in the markets studied

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    Series: NBER working paper series ; no. w29508
    Subjects: Fluggesellschaft; Passagierluftverkehr; Flugpreis; Preismanagement; Verbrauchereinstellung; Data Analytics; Data Mining; Industrieökonomik; USA
    Scope: 1 Online-Ressource, illustrations (black and white)
    Notes:

    Hardcopy version available to institutional subscribers
  22. Computational linguistics and intelligent text processing
    20th International Conference, CICLing 2019, La Rochelle, France, April 7-13, 2019, revised selected papers – Part 1
    Contributor: Gelbukh, Alexander (HerausgeberIn)
    Published: [2023]
    Publisher:  Springer, Cham

    The two-volume set LNCS 13451 and 13452 constitutes revised selected papers from the CICLing 2019 conference which took place in La Rochelle, France, April 2019.The total of 95 papers presented in the two volumes was carefully reviewed and selected... more

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    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
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    RN 2835(13451)
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    Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Bibliothek
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    No inter-library loan

     

    The two-volume set LNCS 13451 and 13452 constitutes revised selected papers from the CICLing 2019 conference which took place in La Rochelle, France, April 2019.The total of 95 papers presented in the two volumes was carefully reviewed and selected from 335 submissions. The book also contains 3 invited papers.The papers are organized in the following topical sections: General, Information extraction, Information retrieval, Language modeling, Lexical resources, Machine translation, Morphology, sintax, parsing, Name entity recognition, Semantics and text similarity, Sentiment analysis, Speech processing, Text categorization, Text generation, and Text mining

     
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  23. Web and big data
    6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25-27, 2022, proceedings – Part 2
    Contributor: Li, Bohan (HerausgeberIn); Yue, Lin (HerausgeberIn); Tao, Chuanqi (HerausgeberIn); Han, Xuming (HerausgeberIn); Calvanese, Diego (HerausgeberIn); Amagasa, Toshiyuki (HerausgeberIn)
    Published: [2023]
    Publisher:  Springer, Cham

    This three-volume set, LNCS 13421, 13422 and 13423, constitutes the thoroughly refereed proceedings of the 6th International Joint Conference, APWeb-WAIM 2022, held in Nanjing, China, in August 2022.The 75 full papers presented together with 45 short... more

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    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
    Signature:
    RN 2835(13422)
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    Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Bibliothek
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    This three-volume set, LNCS 13421, 13422 and 13423, constitutes the thoroughly refereed proceedings of the 6th International Joint Conference, APWeb-WAIM 2022, held in Nanjing, China, in August 2022.The 75 full papers presented together with 45 short papers, and 5 demonstration papers were carefully reviewed and selected from 297 submissions. The papers are organized around the following topics: Big Data Analytic and Management, Advanced database and web applications, Cloud Computing and Crowdsourcing, Data Mining, Graph Data and Social Networks, Information Extraction and Retrieval, Knowledge Graph, Machine Learning, Query processing and optimization, Recommender Systems, Security, privacy, and trust and Blockchain data management and applications, and Spatial and multi-media data

     
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    Content information
    Source: Union catalogues
    Contributor: Li, Bohan (HerausgeberIn); Yue, Lin (HerausgeberIn); Tao, Chuanqi (HerausgeberIn); Han, Xuming (HerausgeberIn); Calvanese, Diego (HerausgeberIn); Amagasa, Toshiyuki (HerausgeberIn)
    Language: English
    Media type: Conference proceedings
    Format: Print
    ISBN: 9783031251979
    Parent title: Web and big data : 6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25-27, 2022, proceedings - Show all bands
    Corporations / Congresses: APWeb-WAIM, 6. (2022, Nanjing)
    Series: Lecture notes in computer science ; 13422
    Subjects: Bildverarbeitung; COMPUTERS / Computer Vision & Pattern Recognition; COMPUTERS / Data Processing / General; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Database Management / Data Mining; COMPUTERS / Database Management / General; COMPUTERS / Mathematical & Statistical Software; Computer vision; Data Mining; Data mining; Databases; Datenbanken; Discrete mathematics; Diskrete Mathematik; Mathematik für Informatiker; Maths for computer scientists; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Wahrscheinlichkeitsrechnung und Statistik; Wissensbasierte Systeme, Expertensysteme
    Scope: xviii, 560 Seiten, Illustrationen
    Notes:

    Research tracks. Big Data Analytic and Management.- Advanced database and web applications.- Cloud Computing and Crowdsourcing.- Data Mining.- Graph Data and Social Networks.- Information Extraction and Retrieval.- Knowledge Graph.- Machine Learning.- Query processing and optimization.- Recommender Systems.- Security, privacy, and trust& Blockchain data management and applications.- Spatial and multi-media data.- Demo papers.
  24. Netzbasierte Ansätze zur natürlichsprachlichen Informationsverarbeitung
    Author: Unger, Herwig; Kubek, Mario; Sukjit, Panchalee
    Published: 2022.
    Publisher:  Springer Fachmedien Wiesbaden, Wiesbaden ; Imprint: Springer Vieweg

    Wissensverarbeitung im menschlichen Gehirn -- Lernen -- Netzwerke für die Textanalyse -- Digitale Updates und digitales Vergessen -- Exploration von Netzwerkstrukturen -- Konzepte des Text Minings in dezentralen Systemen -- Informationsmanagement im... more

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    Wissensverarbeitung im menschlichen Gehirn -- Lernen -- Netzwerke für die Textanalyse -- Digitale Updates und digitales Vergessen -- Exploration von Netzwerkstrukturen -- Konzepte des Text Minings in dezentralen Systemen -- Informationsmanagement im Web. Für Leser, die bereits die Grundlagen der Wissensverarbeitung und Computernetzwerke beherrschen, gibt das Buch einen Überblick über innovative Verfahren, die die automatisierte Suche, Recherche, Klassifikation und Verwaltung von Texten im Kontext dezentraler Systeme und vor allem im WWW erlauben. Besondere Aufmerksamkeit wird dabei auf eine personalisierte Verarbeitung gerichtet, die auch zeitliche Aspekte, wie z. B. das digitale Vergessen, einbeziehen. An vielen Stellen werden auf interessante und neuartige Art und Weise Analogien aus anderen Wissensgebieten, so z. B. zur Verarbeitung von Informationen und zum Lernen im menschlichen Gehirn sowie der Natur schlechthin genutzt. Der Inhalt Wissensverarbeitung im menschlichen Gehirn Lernen Netzwerke für die Textanalyse Digitale Updates und digitales Vergessen Exploration von Netzwerkstrukturen Konzepte des Text Minings in dezentralen Systemen Informationsmanagement im Web Die Zielgruppen Master-Studierende in folgenden Bereichen und Studiengängen: Informatik, Informationsverarbeitung, Big Data, Data Mining, Webdesign, Bibliothekswissenschaften Ingenieure, Anwender und Programmierer in einschlägigen Tätigkeitsfeldern Das Autoren-Team Prof. Dr. Herwig Unger, Dr. Mario Kubek und Dr. Panchalee Sukjit kommen aus unterschiedlichen Wissensgebieten der Informatik, die seit 2008 die gemeinsame Vision vereint, die meist textbasierten Ressourcen des WWW besser nutzbar zu machen. Von ihnen sind eine Vielzahl von Fachbeiträgen zum Thema auf wissenschaftlichen Tagungen, in Journalen bzw. Fachbüchern erschienen.

     
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  25. Advances in information retrieval
    Part 1
    Contributor: Caputo, Annalina (HerausgeberIn); Crestani, Fabio (HerausgeberIn); Davis, Brian (HerausgeberIn); Goeuriot, Lorraine (HerausgeberIn); Gurrin, Cathal (HerausgeberIn); Joho, Hideo (HerausgeberIn); Kamps, Jaap (HerausgeberIn); Kruschwitz, Udo (HerausgeberIn); Maistro, Maria (HerausgeberIn)
    Published: [2023]
    Publisher:  Springer International Publishing AG, Cham

    The three-volume set LNCS 13980, 13981 and 13982 constitutes the refereed proceedings of the 45th European Conference on IR Research, ECIR 2023, held in Dublin, Ireland, during April 2-6, 2023. The 65 full papers, 41 short papers, 19 demonstration... more

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    The three-volume set LNCS 13980, 13981 and 13982 constitutes the refereed proceedings of the 45th European Conference on IR Research, ECIR 2023, held in Dublin, Ireland, during April 2-6, 2023. The 65 full papers, 41 short papers, 19 demonstration papers, and 12 reproducibility papers, 10 doctoral consortium papers were carefully reviewed and selected from 489 submissions. The accepted papers cover the state of the art in information retrieval focusing on user aspects, system and foundational aspects, machine learning, applications, evaluation, new social and technical challenges, and other topics of direct or indirect relevance to search

     
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    Content information
    Source: Union catalogues
    Contributor: Caputo, Annalina (HerausgeberIn); Crestani, Fabio (HerausgeberIn); Davis, Brian (HerausgeberIn); Goeuriot, Lorraine (HerausgeberIn); Gurrin, Cathal (HerausgeberIn); Joho, Hideo (HerausgeberIn); Kamps, Jaap (HerausgeberIn); Kruschwitz, Udo (HerausgeberIn); Maistro, Maria (HerausgeberIn)
    Language: English
    Media type: Conference proceedings
    Format: Print
    ISBN: 9783031282430
    Parent title: Advances in information retrieval - Show all bands
    Corporations / Congresses: European Conference on Information Retrieval, 45. (2023, Dublin)
    Series: Lecture notes in computer science ; 13980
    Subjects: COMPUTERS / Artificial Intelligence; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Data Processing / Storage & Retrieval; COMPUTERS / Database Management / Data Mining; COMPUTERS / Database Management / General; Data Mining; Data Warehousing; Data mining; Databases; Datenbanken; Information retrieval; Informationsrückgewinnung, Information Retrieval; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Wissensbasierte Systeme, Expertensysteme
    Scope: xlvii, 740 Seiten
    Notes:

    Full Papers.- Self-Supervised Contrastive BERT Fine-tuning for Fusion-based Reviewed-Item Retrieval.- User Requirement Analysis for a Recommender System-Based Meeting Assistant.- Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering.- Exploiting Graph Structured Cross-Domain Representation for Multi-Domain Recommendation.- Injecting the BM25 Score as Text Improves BERT-Based Re-rankers.- Quantifying Valence and Arousal in Text with Multilingual Pre-trained Transformers.- A Knowledge Infusion based Multitasking System for Sarcasm Detection in Meme.- Multilingual Detection of Check-Worthy Claims using World Languages and Adapter Fusion.- Market-Aware Models for Efficient Cross Market Recommendation.- TourismNLG: A Multi-lingual Generative Benchmark for the Tourism Domain.- An Interpretable Knowledge Representation Framework for Natural Language Processing with Cross-Domain Application.- Graph-based Recommendation for Sparse and Heterogeneous User Interactions.- It's Just a Matter of Time: Detecting Depression with Time-Enriched Multimodal Transformers.- Recommendation Algorithm Based on Deep Light Graph Convolution Network in Knowledge Graph.- Query Performance Prediction for Neural IR: Are We There Yet?.- Item Graph Convolutional Collaborative Filtering for Inductive Recommendations.- CoLISA: Inner Interaction via Contrastive Learning for Multi-Choice Reading Comprehension.- Viewpoint Diversity in Search Results.- COILCR: Efficient Semantic Matching in Contextualized Exact Match Retrieval.- Bootstrapped nDCG Estimation in the Presence of Unjudged Documents.- Predicting the Listening Contexts of Music Playlists Using Knowledge Graphs.- Keyword Embeddings for Query Suggestion.- Domain-driven and Discourse-guided Scientific Summarisation.- Injecting Temporal-aware Knowledge in Historical Named Entity Recognition.- A Mask-based Logic Rules Dissemination Method for Sentiment Classifiers.- Contrasting Neural Click Models and Pointwise IPS Rankers.- Sentence Retrieval for Open-Ended Dialogue using Dual Contextual Modeling.- Temporal Natural Language Inference: Evidence-based Evaluation of Temporal Text Validity.- Theoretical Analysis on the Efficiency of Interleaved Comparisons.- Intention-aware Neural Networks for Question Paraphrase Identification.- Automatic and Analytical Field Weighting for Structured Document Retrieval.- An Experimental Study on Pretraining Transformers from Scratch for IR.- Neural Approaches to Multilingual Information Retrieval.- CoSPLADE: Contextualizing SPLADE for Conversational Information Retrieval.- SR-CoMbEr: Heterogeneous Network Embedding using Community Multi-view Enhanced Graph Convolutional Network for Automating Systematic Reviews.- Multimodal Inverse Cloze Task for Knowledge-based Visual Question Answering.- A Transformer-based Framework for POI-level Social Post Geolocation.- Document-Level Relation Extraction with Distance-dependent Bias Network and Neighbors Enhanced Loss.- Investigating Conversational Agent Action in Legal Case Retrieval.- MS-Shift: An Analysis of MS MARCO Distribution Shifts on Neural Retrieval.- Listwise Explanations for Ranking Models using Multiple Explainers.- Improving video retrieval using multilingual knowledge transfer.- Service is good, very good or excellent? Towards Aspect based Sentiment Intensity Analysis.- Effective Hierarchical Information Threading using Network Community Detection.- HADA: A Graph-based Amalgamation Framework in Image-Text Retrieval.