Text Mining

Concepts, Implementation, and Big Data Challenge

Taeho Jo (Autor)

Buch | Softcover

XIII, 373 Seiten

2019 | 1. Softcover reprint of the original 1st ed. 2019
Springer International Publishing (Verlag)
978-3-030-06302-3 (ISBN)

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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.

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".

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.

Erscheinungsdatum	28.02.2019
Reihe/Serie	Studies in Big Data
Zusatzinfo	XIII, 373 p. 236 illus., 148 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	593 g
Themenwelt	Technik ► Elektrotechnik / Energietechnik
Themenwelt	Technik ► Nachrichtentechnik
Schlagworte	Automatic text management • Data Mining • Tex mining systems in Java • text categorization • Text Clustering • Text Mining • Text Segmentation • Text Summarization
ISBN-10	3-030-06302-X / 303006302X
ISBN-13	978-3-030-06302-3 / 9783030063023
Zustand	Neuware