000 | 01530nam a2200193 4500 | ||
---|---|---|---|
020 | _a978-1118729274 | ||
082 | _a658.4038 SHM | ||
100 | _aShmueli, Galit, ; Bruce, Peter C.; Patel, Nitin R. | ||
245 | _aData mining for business analytics : concepts, techniques, and applications with XL miner | ||
250 | _a3rd Ed., | ||
260 |
_aUSA _bWiley _c2016 |
||
300 |
_axxxi, 514 p. _b26 cm; Hard |
||
500 | _aAlpha /2440/ Rs.8987/- | ||
505 | _aOverview of the data mining process -- Data visualization -- Dimension reduction -- Evaluating predictive performance -- Multiple linear regression -- k-Nearest Neighbors (kNN) -- The Naive Bayes Classifier -- Classification and regression trees -- Logistic regression -- Neural nets -- Discriminant analysis -- Combining methods : ensembles and uplift modeling -- Association rules and collaborative filtering -- Cluster analysis -- Handling time series -- Regression-based forecasting -- Smoothing methods -- Social network analytics -- Text mining. | ||
520 | _aData Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner(R), Third Edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies. | ||
650 |
_aBusiness--Data processing _aData mining _aXL Miner (Computer file) _aBusiness mathematics--Computer programs _aMicrosoft Excel (Computer file) |
||
856 | _uhttp://www.wiley.com/WileyCDA/WileyTitle/productCd-1118729277,subjectCd-CSB0.html | ||
942 | _cBK | ||
999 |
_c103197 _d103197 |