000 | 02718nam a22004695i 4500 | ||
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001 | 978-3-642-36681-9 | ||
003 | DE-He213 | ||
005 | 20200420221251.0 | ||
007 | cr nn 008mamaa | ||
008 | 130228s2013 gw | s |||| 0|eng d | ||
020 |
_a9783642366819 _9978-3-642-36681-9 |
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024 | 7 |
_a10.1007/978-3-642-36681-9 _2doi |
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050 | 4 | _aQ342 | |
072 | 7 |
_aUYQ _2bicssc |
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072 | 7 |
_aCOM004000 _2bisacsh |
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082 | 0 | 4 |
_a006.3 _223 |
100 | 1 |
_aGarriga, Gemma C. _eauthor. |
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245 | 1 | 0 |
_aFormal Methods for Mining Structured Objects _h[electronic resource] / _cby Gemma C Garriga. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013. |
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300 |
_aX, 109 p. 50 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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490 | 1 |
_aStudies in Computational Intelligence, _x1860-949X ; _v475 |
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505 | 0 | _aIntroduction -- Preliminaries -- Horn Axiomatizations for Sequences -- Transformations on Injective Partial Orders -- Transformations on General Partial Orders -- Towards Other Structured Data. | |
520 | _aIn the field of knowledge discovery, graphs of concepts are an expressive and versatile modeling technique providing ways to reason about information implicit in a set of data. Interesting examples of this can be found under the mathematical theory of formal concept analysis, dedicated to the construction of a lattice of concepts by defining a Galois connection on a binary relationship. This book present such graph of concepts under the more complex case of data that comes in a set of structured objects; e.g. a set of sequences, trees or graphs. Nodes of this graph will represent patterns in the data and edges will correspond to relationships of specificity. From this combinatorial object results are derived such as a full characterization of logical implications and closed partial orders. The results presented in this book are coupled with examples and empirical experiments that illustrate the derived theoretical contributions. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aComputational intelligence. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642366802 |
830 | 0 |
_aStudies in Computational Intelligence, _x1860-949X ; _v475 |
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856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-36681-9 |
912 | _aZDB-2-ENG | ||
942 | _cEBK | ||
999 |
_c52622 _d52622 |