000 | 02631nam a22004815i 4500 | ||
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001 | 978-3-662-49291-8 | ||
003 | DE-He213 | ||
005 | 20200421111155.0 | ||
007 | cr nn 008mamaa | ||
008 | 160526s2016 gw | s |||| 0|eng d | ||
020 |
_a9783662492918 _9978-3-662-49291-8 |
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024 | 7 |
_a10.1007/978-3-662-49291-8 _2doi |
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050 | 4 | _aQA76.9.D343 | |
072 | 7 |
_aUNF _2bicssc |
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072 | 7 |
_aUYQE _2bicssc |
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072 | 7 |
_aCOM021030 _2bisacsh |
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082 | 0 | 4 |
_a006.312 _223 |
100 | 1 |
_aGanter, Bernhard. _eauthor. |
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245 | 1 | 0 |
_aConceptual Exploration _h[electronic resource] / _cby Bernhard Ganter, Sergei Obiedkov. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2016. |
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300 |
_aXVII, 315 p. 148 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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505 | 0 | _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. . | |
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. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aData mining. | |
650 | 0 | _aAlgebra. | |
650 | 0 | _aOrdered algebraic structures. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aData Mining and Knowledge Discovery. |
650 | 2 | 4 | _aOrder, Lattices, Ordered Algebraic Structures. |
700 | 1 |
_aObiedkov, Sergei. _eauthor. |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783662492901 |
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-662-49291-8 |
912 | _aZDB-2-SCS | ||
942 | _cEBK | ||
999 |
_c53468 _d53468 |