Shmueli, Galit.
Data mining for business analytics : concepts, techniques, and applications with XLMiner / Galit Shmueli, Peter C. Bruce, Nitin R. Patel. - Third edition. - Hoboken, NJ : John Wiley & Sons, Inc., c2018. - xxxi, 514 pages : illustrations ;
Includes bibliographical references and index.
Contents: 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.
English
9781119519669 [paperback]
Business--Data processing.
Data mining.
650 Sh69 2018
Data mining for business analytics : concepts, techniques, and applications with XLMiner / Galit Shmueli, Peter C. Bruce, Nitin R. Patel. - Third edition. - Hoboken, NJ : John Wiley & Sons, Inc., c2018. - xxxi, 514 pages : illustrations ;
Includes bibliographical references and index.
Contents: 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.
English
9781119519669 [paperback]
Business--Data processing.
Data mining.
650 Sh69 2018