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  • × year_i:[2010 TO 2020}
  • × type_ss:"m"
  1. Mining text data (2012) 0.09 
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    Abstract
    Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath in topics across social networks & data mining. Each chapter contains a comprehensive survey including the key research content on the topic, and the future directions of research in the field. There is a special focus on Text Embedded with Heterogeneous and Multimedia Data which makes the mining process much more challenging. A number of methods have been designed such as transfer learning and cross-lingual mining for such cases. Mining Text Data simplifies the content, so that advanced-level students, practitioners and researchers in computer science can benefit from this book. Academic and corporate libraries, as well as ACM, IEEE, and Management Science focused on information security, electronic commerce, databases, data mining, machine learning, and statistics are the primary buyers for this reference book.
    Content
    Inhalt: An Introduction to Text Mining.- Information Extraction from Text.- A Survey of Text Summarization Techniques.- A Survey of Text Clustering Algorithms.- Dimensionality Reduction and Topic Modeling.- A Survey of Text Classification Algorithms.- Transfer Learning for Text Mining.- Probabilistic Models for Text Mining.- Mining Text Streams.- Translingual Mining from Text Data.- Text Mining in Multimedia.- Text Analytics in Social Media.- A Survey of Opinion Mining and Sentiment Analysis.- Biomedical Text Mining: A Survey of Recent Progress.- Index.
    LCSH
    Data mining
    RSWK
    Text Mining / Aufsatzsammlung
    Subject
    Text Mining / Aufsatzsammlung
    Data mining
    Theme
    Data Mining
  2. Liu, B.: Web data mining : exploring hyperlinks, contents, and usage data (2011) 0.07 
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    Abstract
    Web mining aims to discover useful information and knowledge from the Web hyperlink structure, page contents, and usage data. Although Web mining uses many conventional data mining techniques, it is not purely an application of traditional data mining due to the semistructured and unstructured nature of the Web data and its heterogeneity. It has also developed many of its own algorithms and techniques. Liu has written a comprehensive text on Web data mining. Key topics of structure mining, content mining, and usage mining are covered both in breadth and in depth. His book brings together all the essential concepts and algorithms from related areas such as data mining, machine learning, and text processing to form an authoritative and coherent text. The book offers a rich blend of theory and practice, addressing seminal research ideas, as well as examining the technology from a practical point of view. It is suitable for students, researchers and practitioners interested in Web mining both as a learning text and a reference book. Lecturers can readily use it for classes on data mining, Web mining, and Web search. Additional teaching materials such as lecture slides, datasets, and implemented algorithms are available online.
    RSWK
    World Wide Web / Data Mining
    Subject
    World Wide Web / Data Mining
    Theme
    Data Mining
  3. Information and communication technologies : international conference; proceedings / ICT 2010, Kochi, Kerala, India, September 7 - 9, 2010 (2010) 0.06 
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    LCSH
    Data mining
    RSWK
    Data Mining / Kongress / Cochin <Kerala, 2010>
    Subject
    Data Mining / Kongress / Cochin <Kerala, 2010>
    Data mining
  4. Semantic applications (2018) 0.06 
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    Content
    Introduction.- Ontology Development.- Compliance using Metadata.- Variety Management for Big Data.- Text Mining in Economics.- Generation of Natural Language Texts.- Sentiment Analysis.- Building Concise Text Corpora from Web Contents.- Ontology-Based Modelling of Web Content.- Personalized Clinical Decision Support for Cancer Care.- Applications of Temporal Conceptual Semantic Systems.- Context-Aware Documentation in the Smart Factory.- Knowledge-Based Production Planning for Industry 4.0.- Information Exchange in Jurisdiction.- Supporting Automated License Clearing.- Managing cultural assets: Implementing typical cultural heritage archive's usage scenarios via Semantic Web technologies.- Semantic Applications for Process Management.- Domain-Specific Semantic Search Applications.
    LCSH
    Data mining
    Data Mining and Knowledge Discovery
    RSWK
    Data Mining
    Subject
    Data Mining
    Data mining
    Data Mining and Knowledge Discovery
  5. Semantic keyword-based search on structured data sources : First COST Action IC1302 International KEYSTONE Conference, IKC 2015, Coimbra, Portugal, September 8-9, 2015. Revised Selected Papers (2016) 0.06 
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    Abstract
    This book constitutes the thoroughly refereed post-conference proceedings of the First COST Action IC1302 International KEYSTONE Conference on semantic Keyword-based Search on Structured Data Sources, IKC 2015, held in Coimbra, Portugal, in September 2015. The 13 revised full papers, 3 revised short papers, and 2 invited papers were carefully reviewed and selected from 22 initial submissions. The paper topics cover techniques for keyword search, semantic data management, social Web and social media, information retrieval, benchmarking for search on big data.
    Content
    Inhalt: Professional Collaborative Information Seeking: On Traceability and Creative Sensemaking / Nürnberger, Andreas (et al.) - Recommending Web Pages Using Item-Based Collaborative Filtering Approaches / Cadegnani, Sara (et al.) - Processing Keyword Queries Under Access Limitations / Calì, Andrea (et al.) - Balanced Large Scale Knowledge Matching Using LSH Forest / Cochez, Michael (et al.) - Improving css-KNN Classification Performance by Shifts in Training Data / Draszawka, Karol (et al.) - Classification Using Various Machine Learning Methods and Combinations of Key-Phrases and Visual Features / HaCohen-Kerner, Yaakov (et al.) - Mining Workflow Repositories for Improving Fragments Reuse / Harmassi, Mariem (et al.) - AgileDBLP: A Search-Based Mobile Application for Structured Digital Libraries / Ifrim, Claudia (et al.) - Support of Part-Whole Relations in Query Answering / Kozikowski, Piotr (et al.) - Key-Phrases as Means to Estimate Birth and Death Years of Jewish Text Authors / Mughaz, Dror (et al.) - Visualization of Uncertainty in Tag Clouds / Platis, Nikos (et al.) - Multimodal Image Retrieval Based on Keywords and Low-Level Image Features / Pobar, Miran (et al.) - Toward Optimized Multimodal Concept Indexing / Rekabsaz, Navid (et al.) - Semantic URL Analytics to Support Efficient Annotation of Large Scale Web Archives / Souza, Tarcisio (et al.) - Indexing of Textual Databases Based on Lexical Resources: A Case Study for Serbian / Stankovic, Ranka (et al.) - Domain-Specific Modeling: Towards a Food and Drink Gazetteer / Tagarev, Andrey (et al.) - Analysing Entity Context in Multilingual Wikipedia to Support Entity-Centric Retrieval Applications / Zhou, Yiwei (et al.)
    Date
    1. 2.2016 18:25:22
  6. Gödert, W.; Lepsky, K.: Informationelle Kompetenz : ein humanistischer Entwurf (2019) 0.05 
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    Footnote
    Rez. in: Philosophisch-ethische Rezensionen vom 09.11.2019 (Jürgen Czogalla), Unter: https://philosophisch-ethische-rezensionen.de/rezension/Goedert1.html. In: B.I.T. online 23(2020) H.3, S.345-347 (W. Sühl-Strohmenger) [Unter: https%3A%2F%2Fwww.b-i-t-online.de%2Fheft%2F2020-03-rezensionen.pdf&usg=AOvVaw0iY3f_zNcvEjeZ6inHVnOK]. In: Open Password Nr. 805 vom 14.08.2020 (H.-C. Hobohm) [Unter: https://www.password-online.de/?mailpoet_router&endpoint=view_in_browser&action=view&data=WzE0MywiOGI3NjZkZmNkZjQ1IiwwLDAsMTMxLDFd].
  7. Metadata and semantics research : 5th International Conference, MTSR 2011, Izmir, Turkey, October 12-14, 2011. Proceedings (2011) 0.04 
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    LCSH
    Data mining
    Subject
    Data mining
  8. Mau, S.: ¬Das metrische Wir : über die Quantifizierung des Sozialen (2017) 0.04 
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    RSWK
    Massendaten / Datenanalyse / Data Mining / Ranking / Soziale Ungleichheit / Ungerechtigkeit
    Subject
    Massendaten / Datenanalyse / Data Mining / Ranking / Soziale Ungleichheit / Ungerechtigkeit
  9. Capulcu redaktionskollektiv: DISRUPT! : Widerstand gegen den technologischen Angriff (2017) 0.03 
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    RSWK
    Informationsgesellschaft / Sozialer Wandel / Social Media / Massendaten / Datenanalyse / Data Mining / Elektronische Überwachung / Manipulation / Widerstand
    Subject
    Informationsgesellschaft / Sozialer Wandel / Social Media / Massendaten / Datenanalyse / Data Mining / Elektronische Überwachung / Manipulation / Widerstand
  10. Reichenberger, K.: Kompendium semantische Netze : Konzepte, Technologie, Modellierung (2010) 0.03 
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    Abstract
    Semantische Technologien werden als die Zukunft menschlichen Wissens gehandelt. Gleichzeitig haftet ihnen immer noch etwas von Geheimwissenschaften an. Dieses Kompendium bietet eine auch für Quereinsteiger verständliche Einführung in das Thema. Es präsentiert verschiedene semantische Techniken, von automatischen Text-Mining-Verfahren bis hin zu komplexen Ontologien, mit einem Schwerpunkt auf semantischen Netzen. Das Kompendium semantische Netze versetzt seine Leser in die Lage zu beurteilen, was semantische Technologien leisten können, indem es die anschauliche Erklärung der Grundprinzipien mit Anwendungsbeispielen aus der Unternehmenspraxis und Kosten-Nutzen-Erwägungen ergänzt. Im praktischen Teil lernt der Leser semantische Netze zu modellieren. Eine Fülle von Beispielen, über 80 Abbildungen sowie zahlreiche Übungen erhöhen den praktischen Nutzen des Werkes.
  11. Corporate Semantic Web : wie semantische Anwendungen in Unternehmen Nutzen stiften (2015) 0.03 
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    LCSH
    Data mining
    Subject
    Data mining
  12. Welzer, H.: ¬Die smarte Diktatur : der Angriff auf unsere Freiheit (2016) 0.03 
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    RSWK
    Data Mining
    Subject
    Data Mining
  13. Next generation search engines : advanced models for information retrieval (2012) 0.02 
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    Content
    Enthält die Beiträge: Das, A., A. Jain: Indexing the World Wide Web: the journey so far. Ke, W.: Decentralized search and the clustering paradox in large scale information networks. Roux, M.: Metadata for search engines: what can be learned from e-Sciences? Fluhr, C.: Crosslingual access to photo databases. Djioua, B., J.-P. Desclés u. M. Alrahabi: Searching and mining with semantic categories. Ghorbel, H., A. Bahri u. R. Bouaziz: Fuzzy ontologies building platform for Semantic Web: FOB platform. Lassalle, E., E. Lassalle: Semantic models in information retrieval. Berry, M.W., R. Esau u. B. Kiefer: The use of text mining techniques in electronic discovery for legal matters. Sleem-Amer, M., I. Bigorgne u. S. Brizard u.a.: Intelligent semantic search engines for opinion and sentiment mining. Hoeber, O.: Human-centred Web search.
    LCSH
    Data mining
    Subject
    Data mining
  14. Reasoning Web : Semantic Interoperability on the Web, 13th International Summer School 2017, London, UK, July 7-11, 2017, Tutorial Lectures (2017) 0.02 
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    Content
    Neumaier, Sebastian (et al.): Data Integration for Open Data on the Web - Stamou, Giorgos (et al.): Ontological Query Answering over Semantic Data - Calì, Andrea: Ontology Querying: Datalog Strikes Back - Sequeda, Juan F.: Integrating Relational Databases with the Semantic Web: A Reflection - Rousset, Marie-Christine (et al.): Datalog Revisited for Reasoning in Linked Data - Kaminski, Roland (et al.): A Tutorial on Hybrid Answer Set Solving with clingo - Eiter, Thomas (et al.): Answer Set Programming with External Source Access - Lukasiewicz, Thomas: Uncertainty Reasoning for the Semantic Web - Calvanese, Diego (et al.): OBDA for Log Extraction in Process Mining
  15. Grundlagen der praktischen Information und Dokumentation : Handbuch zur Einführung in die Informationswissenschaft und -praxis (2013) 0.02 
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    Content
    B: Methodisches Bernard Bekavac: Web-Technologien - Rolf Assfalg: Metadaten - Ulrich Reimer: Wissensorganisation - Thomas Mandl: Text Mining und Data Mining - Harald Reiterer, Hans-Christian Jetter: Informationsvisualisierung - Katrin Weller: Ontologien - Stefan Gradmann: Semantic Web und Linked Open Data - Isabella Peters: Benutzerzentrierte Erschließungsverfahre - Ulrich Reimer: Empfehlungssysteme - Udo Hahn: Methodische Grundlagen der Informationslinguistik - Klaus Lepsky: Automatische Indexierung - Udo Hahn: Automatisches Abstracting - Ulrich Heid: Maschinelle Übersetzung - Bernd Ludwig: Spracherkennung - Norbert Fuhr: Modelle im Information Retrieval - Christa Womser-Hacker: Kognitives Information Retrieval - Alexander Binder, Frank C. Meinecke, Felix Bießmann, Motoaki Kawanabe, Klaus-Robert Müller: Maschinelles Lernen, Mustererkennung in der Bildverarbeitung
  16. Stuart, D.: Web metrics for library and information professionals (2014) 0.02 
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    LCSH
    Data mining
    Subject
    Data mining
  17. EndNote X7 : bibliographies made easy [= Version 17] (2013) 0.02 
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    Date
    17. 9.2018 18:19:22
  18. Knowledge organization in the 21st century : between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland (2014) 0.02 
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  19. Smiraglia, R.P.: ¬The elements of knowledge organization (2014) 0.02 
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    Abstract
    The Elements of Knowledge Organization is a unique and original work introducing the fundamental concepts related to the field of Knowledge Organization (KO). There is no other book like it currently available. The author begins the book with a comprehensive discussion of "knowledge" and its associated theories. He then presents a thorough discussion of the philosophical underpinnings of knowledge organization. The author walks the reader through the Knowledge Organization domain expanding the core topics of ontologies, taxonomies, classification, metadata, thesauri and domain analysis. The author also presents the compelling challenges associated with the organization of knowledge. This is the first book focused on the concepts and theories associated with KO domain. Prior to this book, individuals wishing to study Knowledge Organization in its broadest sense would generally collocate their own resources, navigating the various methods and models and perhaps inadvertently excluding relevant materials. This text cohesively links key and related KO material and provides a deeper understanding of the domain in its broadest sense and with enough detail to truly investigate its many facets. This book will be useful to both graduate and undergraduate students in the computer science and information science domains both as a text and as a reference book. It will also be valuable to researchers and practitioners in the industry who are working on website development, database administration, data mining, data warehousing and data for search engines. The book is also beneficial to anyone interested in the concepts and theories associated with the organization of knowledge. Dr. Richard P. Smiraglia is a world-renowned author who is well published in the Knowledge Organization domain. Dr. Smiraglia is editor-in-chief of the journal Knowledge Organization, published by Ergon-Verlag of Würzburg. He is a professor and member of the Information Organization Research Group at the School of Information Studies at University of Wisconsin Milwaukee.
  20. Ford, N.: Introduction to information behaviour (2015) 0.02 
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    Date
    22. 1.2017 16:45:48

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