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001 | 295061 | ||
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007 | cr nn 008mamaa | ||
008 | 150903s2005 gw | o |||| 0|eng d | ||
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_a9783540324041 _99783540324041 |
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024 | 7 |
_a10.1007/b98152 _2doi |
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035 | _avtls000348377 | ||
039 | 9 |
_a201509031104 _bVLOAD _c201405070518 _dVLOAD _y201402071026 _zstaff |
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_aMX-SnUAN _bspa _cMX-SnUAN _erda |
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050 | 4 | _aTA329-348 | |
100 | 1 |
_aHalgamuge, Saman. _eeditor. _9329127 |
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245 | 1 | 0 |
_aClassification and Clustering for Knowledge Discovery / _cedited by Saman Halgamuge, Lipo Wang. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2005. |
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300 |
_axI, 356 páginas Also available online. _brecurso en línea. |
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336 |
_atexto _btxt _2rdacontent |
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337 |
_acomputadora _bc _2rdamedia |
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_arecurso en línea _bcr _2rdacarrier |
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_aarchivo de texto _bPDF _2rda |
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490 | 0 |
_aStudies in Computational Intelligence, _x1860-949X ; _v4 |
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500 | _aSpringer eBooks | ||
520 | _aKnowledge Discovery today is a significant study and research area. In finding answers to many research questions in this area, the ultimate hope is that knowledge can be extracted from various forms of data around us. This book covers recent advances in unsupervised and supervised data analysis methods in Computational Intelligence for knowledge discovery. In its first part the book provides a collection of recent research on distributed clustering, self organizing maps and their recent extensions. If labeled data or data with known associations are available, we may be able to use supervised data analysis methods, such as classifying neural networks, fuzzy rule-based classifiers, and decision trees. Therefore this book presents a collection of important methods of supervised data analysis. "Classification and Clustering for Knowledge Discovery" also includes variety of applications of knowledge discovery in health, safety, commerce, mechatronics, sensor networks, and telecommunications. | ||
590 | _aPara consulta fuera de la UANL se requiere clave de acceso remoto. | ||
700 | 1 |
_aWang, Lipo. _eeditor. _9327272 |
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710 | 2 |
_aSpringerLink (Servicio en línea) _9299170 |
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776 | 0 | 8 |
_iEdición impresa: _z9783540260738 |
856 | 4 | 0 |
_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/b98152 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL) |
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