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Language: en
Pages: 200
Pages: 200
Type: BOOK - Published: 2017-06-28 - Publisher: Springer
The book will provide: 1) In depth explanation of rough set theory along with examples of the concepts. 2) Detailed discussion on idea of feature selection. 3)
Language: en
Pages: 243
Pages: 243
Type: BOOK - Published: 2019-08-23 - Publisher: Springer Nature
This book provides a comprehensive introduction to rough set-based feature selection. Rough set theory, first proposed by Zdzislaw Pawlak in 1982, continues to
Language: en
Pages: 357
Pages: 357
Type: BOOK - Published: 2008-10-03 - Publisher: John Wiley & Sons
The rough and fuzzy set approaches presented here open up many new frontiers for continued research and development Computational Intelligence and Feature Selec
Language: en
Pages: 193
Pages: 193
Type: BOOK - Published: 2020-03-16 - Publisher: Springer Nature
This book offers a comprehensible overview of Big Data Preprocessing, which includes a formal description of each problem. It also focuses on the most relevant
Language: en
Pages: 1961
Pages: 1961
Type: BOOK - Published: 2020-03-06 - Publisher: IGI Global
Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries, including business and health