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000755579 020__ $$a9783662492918$$q(electronic book)
000755579 020__ $$a3662492911$$q(electronic book)
000755579 020__ $$z9783662492901
000755579 035__ $$aSP(OCoLC)ocn950884546
000755579 035__ $$aSP(OCoLC)950884546
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000755579 049__ $$aISEA
000755579 050_4 $$aQA76.9.D343
000755579 08204 $$a006.3/12$$223
000755579 1001_ $$aGanter, Bernhard,$$eauthor.
000755579 24510 $$aConceptual exploration$$h[electronic resource] /$$cBernhard Ganter, Sergei Obiedkov.
000755579 264_1 $$aBerlin :$$bSpringer,$$c2016.
000755579 300__ $$a1 online resource (xvii, 315 pages) :$$billustrations
000755579 336__ $$atext$$btxt$$2rdacontent
000755579 337__ $$acomputer$$bc$$2rdamedia
000755579 338__ $$aonline resource$$bcr$$2rdacarrier
000755579 504__ $$aIncludes bibliographical references and index.
000755579 5050_ $$aWhat to expect from this book -- Concept lattices -- An algorithm for closure systems -- The canonical basis -- Attribute exploration -- Non-implicational background knowledge -- Enhancing the expressive power -- Relational Exploration -- Concept exploration. .
000755579 506__ $$aAccess limited to authorized users.
000755579 520__ $$aThis is the first textbook on attribute exploration, its theory, its algorithms for applications, and some of its many possible generalizations. Attribute exploration is useful for acquiring structured knowledge through an interactive process, by asking queries to an expert. Generalizations that handle incomplete, faulty, or imprecise data are discussed, but the focus lies on knowledge extraction from a reliable information source. The method is based on Formal Concept Analysis, a mathematical theory of concepts and concept hierarchies, and uses its expressive diagrams. The presentation is self-contained. It provides an introduction to Formal Concept Analysis with emphasis on its ability to derive algebraic structures from qualitative data, which can be represented in meaningful and precise graphics.
000755579 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed June 2, 2016).
000755579 650_0 $$aAttribute focusing (Data mining)
000755579 650_0 $$aMathematical analysis.
000755579 650_0 $$aConcept mapping.
000755579 7001_ $$aObiedkov, Sergei,$$eauthor.
000755579 852__ $$bebk
000755579 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-662-49291-8$$zOnline Access$$91397441.1
000755579 909CO $$ooai:library.usi.edu:755579$$pGLOBAL_SET
000755579 980__ $$aEBOOK
000755579 980__ $$aBIB
000755579 982__ $$aEbook
000755579 983__ $$aOnline
000755579 994__ $$a92$$bISE