Hybrid Data Mining Approach for Text Classification
(Sprache: Englisch)
Hybrid Data Mining Approach for Text Classification is designed to serve as a reference book for researchers. This book is primarily deals with the introductory concept of text classification of data mining and the various approaches used for test...
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Hybrid Data Mining Approach for Text Classification is designed to serve as a reference book for researchers. This book is primarily deals with the introductory concept of text classification of data mining and the various approaches used for test classification.. A hybrid approach is proposed for text classification. This book also covers different algorithms for text classification. Experimental results and their analysis are also discussed in this book. Salient Features: Introductory concept of text classification Processes of text classification Techniques in data classification Hybrid approach of test classification
Autoren-Porträt von Dilip Kumar Shaw
Shaw, Dilip KumarDilip Kumar Shaw is currently Associate Professor of Department of Computer Applications, NIT, Jamshedpur. He received Ph. D. in Computer Applications from NIT, Jamshedpur. He has over twenty years of experience in the field teaching and his areas of interest include Data Mining, IoT, Security, Algorithm Design & Network Optimisation.
Bibliographische Angaben
- Autor: Dilip Kumar Shaw
- 2018, 72 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6139850304
- ISBN-13: 9786139850303
Sprache:
Englisch
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