Shmueli, Galit, ; Bruce, Peter C.; Patel, Nitin R.
Data mining for business analytics : concepts, techniques, and applications with XL miner
- 3rd Ed.,
- USA Wiley 2016
- xxxi, 514 p. 26 cm; Hard
Alpha /2440/ Rs.8987/-
Overview 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.
Data 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.
978-1118729274
Business--Data processing Data mining XL Miner (Computer file) Business mathematics--Computer programs Microsoft Excel (Computer file)