Fr. 53.50

Text Document Clustering - A Hard and Soft Computing Approach. DE

English · Paperback / Softback

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Description

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This Book provides a thorough overview of the document clustering techniques used in Text mining. It focuses on the different phases of document clustering: Pre-processing, Feature extraction, Feature selection and Clustering. It narrates the different methodologies applied in clustering process. The book acquaints the research students with the different soft and hard computing approaches that are most commonly used while carrying out their researches in various areas. The text book also contains the data flow diagrams for document clustering, recall precision rates and Inter-relationship between Research Papers. It also includes MatLab code for document clustering process. This book clears the ideas about the fuzzy clustering technique and its applicability in the document clustering process.

About the author










Dr. U.S. Patki obteve seu mestrado em Ciência da Computação pelo Dr. BAMU Aurangabad (MS) Índia. Ele recebeu o grau de M.Phil da YCMOU Nashik (MS) Índia. Ele tem sólidos conhecimentos em agrupamento de documentos com soft skills e é doutorado pela Universidade Gondwana Gadchiroli (MS) Índia.

Product details

Authors S. B. Kishor, Ajay Kurhe, Ulhaskumar Patki
Publisher LAP Lambert Academic Publishing
 
Languages English
Product format Paperback / Softback
Released 01.01.2022
 
EAN 9786204745381
ISBN 9786204745381
No. of pages 96
Subject Natural sciences, medicine, IT, technology > Mathematics > Miscellaneous

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