000 03918nam a22006255i 4500
001 978-3-540-32407-2
003 DE-He213
005 20161121231023.0
007 cr nn 008mamaa
008 100806s2005 gw | s |||| 0|eng d
020 _a9783540324072
_9978-3-540-32407-2
024 7 _a10.1007/B97578
_2doi
050 4 _aTA329-348
050 4 _aTA640-643
072 7 _aTBJ
_2bicssc
072 7 _aMAT003000
_2bisacsh
082 0 4 _a519
_223
245 1 0 _aIntelligent Data Mining
_h[electronic resource] :
_bTechniques and Applications /
_cedited by Da Ruan, Guoqing Chen, Etienne E. Kerre, Geert Wets.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2005.
300 _aX, 518 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v5
505 0 _aFrom the contents: Part 1: Intelligent Systems and Data Mining; Some Considerations in Multi-Source Data Fusion; Granular Nested Causal Complexes; Gene Regulating Network Discovery; Semantic Relations and Information Discovery; Sequential Pattern Mining; Uncertain Knowledge Association through Information Gain; Data Mining for Maximal Frequency Patterns in Sequence Group; Mining Association Rule with Rough Sets; The Evolution of the Concept of Fuzzy Measure -- Part 2: Economic and Management Applications; Building ER Models with Association Rules; Discovering the Factors Affecting the Location Selection of FDI in China; Penalty-Reward Analysis with Uninorms: A Study of Customer (Dis)Satisfaction -- Part 3: Industrial Engineering Applications; Fuzzy Process Control with Intelligent Data Mining; Accelerating the New Product Introduction with Intelligent Data Mining; Integrated Clustering Modeling with Backpropagation Neural Network for Efficient Customer Relationship Management Mining.
520 _aIntelligent Data Mining - Techniques and Applications is an organized edited collection of contributed chapters covering basic knowledge for intelligent systems and data mining, applications in economic and management, industrial engineering and other related industrial applications. The main objective of this book is to gather a number of peer-reviewed high quality contributions in the relevant topic areas. The focus is especially on those chapters that provide theoretical/analytical solutions to the problems of real interest in intelligent techniques possibly combined with other traditional tools, for data mining and the corresponding applications to engineers and managers of different industrial sectors. Academic and applied researchers and research students working on data mining can also directly benefit from this book.
650 0 _aEngineering.
650 0 _aInformation technology.
650 0 _aBusiness
_xData processing.
650 0 _aComputers.
650 0 _aPattern recognition.
650 0 _aApplied mathematics.
650 0 _aEngineering mathematics.
650 0 _aControl engineering.
650 0 _aRobotics.
650 0 _aMechatronics.
650 1 4 _aEngineering.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
650 2 4 _aPattern Recognition.
650 2 4 _aInformation Systems and Communication Service.
650 2 4 _aIT in Business.
650 2 4 _aControl, Robotics, Mechatronics.
700 1 _aRuan, Da.
_eeditor.
700 1 _aChen, Guoqing.
_eeditor.
700 1 _aKerre, Etienne E.
_eeditor.
700 1 _aWets, Geert.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540262565
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v5
856 4 0 _uhttp://dx.doi.org/10.1007/B97578
912 _aZDB-2-ENG
950 _aEngineering (Springer-11647)
999 _c507387
_d507387