Text Mining - neues Buch

Buch in der Datenbank seit 2018-07-18T16:14:36+02:00 (Berlin)
Detailseite zuletzt geändert am 2023-07-20T13:24:33+02:00 (Berlin)
ISBN/EAN: 9783319918150

ISBN - alternative Schreibweisen:
978-3-319-91815-0
Alternative Schreibweisen und verwandte Suchbegriffe:
Titel des Buches: mining

Daten vom Verlag:

Autor/in: Taeho Jo
Titel: Studies in Big Data; Text Mining - Concepts, Implementation, and Big Data Challenge
Verlag: Springer; Springer International Publishing
373 Seiten
Erscheinungsjahr: 2018-06-07
Cham; CH
Sprache: Englisch
160,49 € (DE)
165,00 € (AT)
189,00 CHF (CH)
Available
XIII, 373 p. 236 illus., 148 illus. in color.

EA; E107; eBook; Nonbooks, PBS / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Nachrichtententechnik, Telekommunikation; Verstehen; Data mining; Text mining; Tex mining systems in Java; Text categorization; Text summarization; Text segmentation; Automatic text management; Text clustering; B; Communications Engineering, Networks; Computational Intelligence; Data Mining and Knowledge Discovery; Information Storage and Retrieval; Data Analysis and Big Data; Engineering; Künstliche Intelligenz; Data Mining; Wissensbasierte Systeme, Expertensysteme; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Datenbanken; BB

This book discusses text mining and different ways this type of data mining can be used to find implicit knowledge from text collections. The author provides the guidelines for implementing text mining systems in Java, as well as concepts and approaches. The book starts by providing detailed text preprocessing techniques and then goes on to provide concepts, the techniques, the implementation, and the evaluation of text categorization. It then goes into more advanced topics including text summarization, text segmentation, topic mapping, and automatic text management.

Part 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.

Presents techniques of preprocessing texts into structured forms

Outlines concepts of text categorization and clustering, their algorithms, and implementation guides

Includes advanced topics such as text summarization, text segmentation, topic mapping, and automatic text management