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000946026 0247_ $$a10.1007/978-981-10-4965-1.$$2doi
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000946026 1001_ $$aRaza, Muhammad Summair.,$$eauthor.
000946026 24510 $$aUnderstanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications /$$cby Muhammad Summair Raza, Usman Qamar.
000946026 264_1 $$aSingapore :$$bSpringer Singapore :$$bImprint: Springer,$$c2017.
000946026 300__ $$a1 online resource (XIII, 194 p. 75 illus). :$$billustrations.
000946026 336__ $$atext$$btxt$$2rdacontent
000946026 337__ $$acomputer$$bc$$2rdamedia
000946026 338__ $$aonline resource$$bcr$$2rdacarrier
000946026 347__ $$atext file$$bPDF$$2rda
000946026 5050_ $$aIntroduction to Feature Selection -- Background -- Rough Set Theory -- Advance Concepts in RST -- Rough Set Based Feature Selection Techniques -- Unsupervised Feature Selection using RST -- Critical Analysis of Feature Selection Algorithms -- RST Source Code.
000946026 506__ $$aAccess limited to authorized users.
000946026 520__ $$aThis book provides a comprehensive introduction to Rough Set-based feature selection. It enables the reader to systematically study all topics of Rough Set Theory (RST) including the preliminaries, advanced concepts and feature selection using RST. In addition, the book is supplemented with an RST-based API library that can be used to implement several RST concepts and RST-based feature selection algorithms. Rough Set Theory, proposed in 1982 by Zdzislaw Pawlak, is an area in constant development. Focusing on the classification and analysis of imprecise or uncertain information and knowledge, it has become a prominent tool for data analysis. Feature selection is one of the important applications of RST, and helps us select the features that provide us with the largest amount of useful information. The book offers a valuable reference guide for all students, researchers, and developers working in the areas of feature selection, knowledge discovery and reasoning with uncertainty, especially those involved in RST and granular computing.
000946026 650_0 $$aArtificial intelligence.
000946026 650_0 $$aComputer science.
000946026 650_0 $$aData mining.
000946026 650_0 $$aDatabase management.
000946026 650_0 $$aNumerical analysis.
000946026 7001_ $$aQamar, Usman.,$$eauthor.
000946026 77608 $$iPrint version:$$z9789811049644
000946026 852__ $$bebk
000946026 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-10-4965-1$$zOnline Access$$91397441.1
000946026 909CO $$ooai:library.usi.edu:946026$$pGLOBAL_SET
000946026 980__ $$aEBOOK
000946026 980__ $$aBIB
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000946026 983__ $$aOnline
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