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Text Mining

Concepts, Implementation, and Big Data Challenge - Previously published in hardcover
BuchKartoniert, Paperback
373 Seiten
Englisch
Springererschienen am14.02.2019Softcover reprint of the original 1st ed. 2019
This book discusses text mining and different ways this type of data mining can be used to find implicit knowledge from text collections. It then goes into more advanced topics including text summarization, text segmentation, topic mapping, and automatic text management.mehr
Verfügbare Formate
BuchGebunden
EUR171,19
BuchKartoniert, Paperback
EUR171,19
BuchGebunden
EUR106,99
E-BookPDF1 - PDF WatermarkE-Book
EUR160,49

Produkt

KlappentextThis book discusses text mining and different ways this type of data mining can be used to find implicit knowledge from text collections. It then goes into more advanced topics including text summarization, text segmentation, topic mapping, and automatic text management.
Details
ISBN/GTIN978-3-030-06302-3
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2019
Erscheinungsdatum14.02.2019
AuflageSoftcover reprint of the original 1st ed. 2019
ReiheStudies in Big Data
Seiten373 Seiten
SpracheEnglisch
Gewicht593 g
IllustrationenXIII, 373 p. 236 illus., 148 illus. in color.
Artikel-Nr.51485393

Inhalt/Kritik

Inhaltsverzeichnis
âPart I: Foundation.- Introduction.- Text Indexing.- Text Encoding.- Text Association.- Part II: Text Categorization.- Text Categorization: Conceptual View.- Text Categorization: Approaches.- Text Categorization: Implementation.- Text Categorization: Evaluation.- Part III: Text Clustering.- Text Clustering: Conceptual View.- Text Clustering: Approaches.- Text Clustering: Implementation.- Text Clustering: Evaluation.- Part IV: Advanced Topics.- Text Summarization.- Text Segmentation.- Taxonomy Generation.- Dynamic Document Organization.- References.- Index.mehr

Schlagworte

Autor

Dr. Taeho Jo works as a faculty member for school of game in Hongik University, South Korea. He received his PhD from University of Ottawa in 2006. His research spans text mining, neural networks, machine learning, and information retrieval. He has four years' experience working for industrial organizations and ten years' experience working for in academia. He has published almost 150 research papers, and he was awarded two times in the world wide biography dictionary, "Marquis Who's Who in the World".