000			02178nam a22003497a 4500
003			OSt
005			20230210182821.0
008			230118b xxu||||| |||| 00| 0 eng d
020			_a9781119519669 [paperback]
040			_aUniversity of Cebu-Banilad Campus _cUniversity of Cebu-Banilad Campus
082			_a650 Sh69 2018
100			_aShmueli, Galit. _eauthor.
245			_aData mining for business analytics : _bconcepts, techniques, and applications with XLMiner / _cGalit Shmueli, Peter C. Bruce, Nitin R. Patel.
250			_aThird edition.
260			_aHoboken, NJ : _bJohn Wiley & Sons, Inc., _cc2018.
300			_axxxi, 514 pages : _billustrations ;
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
504			_aIncludes bibliographical references and index.
505			_aContents: Chapter 1 Introduction -- Chapter 2 Overview of the data mining process -- Chapter 3 Data visualization -- Chapter 4 Dimension reduction -- Chapter 5 Evaluating predictive performance -- Chapter 6 Multiple linear regression -- Chapter 7 k-Nearest-neighbors (k-NN) -- Chapter 8 The naive bayes classifier -- Chapter 9 Classification and regression tress -- Chapter 10 Logistic regression -- Chapter 11 Neural nets -- Chapter 12 Discrmininant analysis -- Chapter 13 Combining methods: ensembles and uplift modeling -- Chapter 14 Association rules and collaborative filtering -- Chapter 15 Cluster analysis -- Chapter 16 Handling time series -- Chapter 17 Regression-based forecasting -- Chapter 18 Smoothing methods -- Chapter 19 Social network analytics -- Chapter 20 Text mining -- Chapter 21 Cases.
541			_xMoma Ortega _yComputer Studies, Information Technology, Information Systems and Animation _zComputer Studies : Information Technology
541			_xChristopher Biore _yBusiness and Accountancy _zBSBA-Marketing Management
546			_aEnglish
650			_aBusiness _xData processing.
650			_aData mining.
700			_aBruce, Peter C. _eauthor
700			_aPatel, Nitin R. _eauthor
942			_2ddc _cBK
998			_cAillen[new] _d01/18/2023
998			_cAillen[added] _d01/26/2023
999			_c11226 _d11226