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001 | 290673 | ||
003 | MX-SnUAN | ||
005 | 20160429154758.0 | ||
007 | cr nn 008mamaa | ||
008 | 150903s2011 xxk| o |||| 0|eng d | ||
020 |
_a9781849963381 _99781849963381 |
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024 | 7 |
_a10.1007/9781849963381 _2doi |
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035 | _avtls000344699 | ||
039 | 9 |
_a201509030424 _bVLOAD _c201405050311 _dVLOAD _y201402061304 _zstaff |
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040 |
_aMX-SnUAN _bspa _cMX-SnUAN _erda |
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050 | 4 | _aQA76.9.D343 | |
100 | 1 |
_aYin, Yong. _eautor _9321532 |
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245 | 1 | 0 |
_aData Mining : _bConcepts, Methods and Applications in Management and Engineering Design / _cby Yong Yin, Ikou Kaku, Jiafu Tang, JianMing Zhu. |
250 | _a1. | ||
264 | 1 |
_aLondon : _bSpringer London : _bImprint: Springer, _c2011. |
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300 |
_axiv, 312 páginas 68 ilustraciones _brecurso en línea. |
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336 |
_atexto _btxt _2rdacontent |
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337 |
_acomputadora _bc _2rdamedia |
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338 |
_arecurso en línea _bcr _2rdacarrier |
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347 |
_aarchivo de texto _bPDF _2rda |
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490 | 0 |
_aDecision Engineering, _x1619-5736 |
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500 | _aSpringer eBooks | ||
505 | 0 | _a1. Decision Analysis and Cluster Analysis -- 2. Association Rules Mining in Inventory Data Base -- 3. Fuzzy Modeling and Optimization: Theory and Methods -- 4. Genetic Algorithm Based Fuzzy Nonlinear Programming -- 5. Neural Network and Self Organizing Maps -- 6. Privacy Preserving Data Mining -- 7. Supply Chain Design by Using Decision Analysis -- 8. Product Architecture and Product Development Process for Global Performance -- 9. Application of Cluster Analysis to Cellular Manufacturing -- 10. Manufacturing Cells Design by Cluster Analysis -- 11. Fuzzy Approach to Quality Function Deployment-based Product Planning -- 12. Decision Making with Consideration of Association in Supply Chains -- 13. Applying Self Organizing Maps to Master Data Making in Automatic Exterior Inspection -- 14. Application for Privacy Preserving Data Mining. | |
520 | _aData Mining introduces in clear and simple ways how to use existing data mining methods to obtain effective solutions for a variety of management and engineering design problems. Data Mining is organised into two parts: the first provides a focused introduction to data mining and the second goes into greater depth on subjects such as customer analysis. It covers almost all managerial activities of a company, including: • market segmentation, • product design, • organization design, • manufacturing design, and • supply chain design. Incorporating recent developments of data mining that have made it possible to deal with management and engineering design problems with greater efficiency and efficacy, Data Mining presents a number of state-of-the-art topics. It will be an informative source of information for researchers, but will also be a useful reference work for industrial and managerial practitioners. | ||
590 | _aPara consulta fuera de la UANL se requiere clave de acceso remoto. | ||
700 | 1 |
_aKaku, Ikou. _eautor _9321533 |
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700 | 1 |
_aTang, Jiafu. _eautor _9321534 |
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700 | 1 |
_aZhu, JianMing. _eautor _9321535 |
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710 | 2 |
_aSpringerLink (Servicio en línea) _9299170 |
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776 | 0 | 8 |
_iEdición impresa: _z9781849963374 |
856 | 4 | 0 |
_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-84996-338-1 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL) |
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_c290673 _d290673 |