000 02283 a2200229 4500
008 140323b2009 xxu||||| |||| 00| 0 eng d
020 _a9783642001925
082 _a006.3
100 _aVenugopal, K. R.
_960277
245 _aSoft computing for data mining applications
_cVenugopal, K. R.
260 _aHeidelberg
_bSpringerVerlag
_c2009
300 _axxii, 341 p.
365 _bEUR 129.95
440 _aStudies in computational intelligence, Vol. 190
_960278
520 _aThe authors have consolidated their research work in this volume titled Soft Computing for Data Mining Applications. The monograph gives an insight into the research in the fields of Data Mining in combination with Soft Computing methodologies. In these days, the data continues to grow exponentially. Much of the data is implicitly or explicitly imprecise. Database discovery seeks to discover noteworthy, unrecognized associations between the data items in the existing database. The potential of discovery comes from the realization that alternate contexts may reveal additional valuable information. The rate at which the data is stored is growing at a phenomenal rate. As a result, traditional ad hoc mixtures of statistical techniques and data management tools are no longer adequate for analyzing this vast collection of data. Several domains where large volumes of data are stored in centralized or distributed databases includes applications like in electronic commerce, bioinformatics, computer security, Web intelligence, intelligent learning database systems, finance, marketing, healthcare, telecommunications, and other fields. HWith the importance of soft computing applied in data mining applications in recent years, this monograph gives a valuable research directions in the field of specialization. As the authors are well known writers in the field of Computer Science and Engineering, the book presents state of the art technology in data mining. The book is very useful to researchers in the field of data mining' Source: http://www.alibris.com/
650 _aData mining
650 _aDatabase management
700 _aSrinivasa, K. G.
_960279
700 _aPatnaik, L. M.
_960280
942 _cBK
999 _c366927
_d366927