Rough Sets In Knowledge Discovery 2
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Language: en
Pages: 605
Pages: 605
Type: BOOK - Published: 2013-03-14 - Publisher: Physica
The papers on rough set theory and its applications placed in this volume present a wide spectrum of problems representative to the present. stage of this theor
Language: en
Pages: 616
Pages: 616
Type: BOOK - Published: 1998-08-20 - Publisher: Boom Koninklijke Uitgevers
The ideas and techniques worked out in Rough Set Theory allow for knowledge reduction and to finding near - to - functional dependencies in data. This fact dete
Language: en
Pages: 486
Pages: 486
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media
The objective of this book is two-fold. Firstly, it is aimed at bringing to gether key research articles concerned with methodologies for knowledge discovery in
Language: en
Pages: 679
Pages: 679
Type: BOOK - Published: 2012-10-07 - Publisher: Physica
Rough set approach to reasoning under uncertainty is based on inducing knowledge representation from data under constraints expressed by discernibility or, more
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
