Data mining for business analytics : concepts, techniques, and applications in R / Galit Shmueli, Peter C. Bruce, Inbal Yahav, Nitin R. Patel, Kenneth C. Lichtendahl, Jr.
Material type: TextPublisher: Hoboken, NJ : John Wiley & Sons, Inc., 2018Copyright date: ©2018Description: xxix, 544 pages : illustrations ; 26 cm. ; casedISBN:- 9781118879368
- 1118879368
- 9781118879368
- 658.40380285 23
- .S55 2018
- .S56 2018
Item type | Current library | Call number | Status | Date due | Barcode |
---|---|---|---|---|---|
General Lending | Carlow Campus Library General Lending | 658.40380285 (Browse shelf(Opens below)) | Checked out | 31/08/2020 | 83655 |
95.90 CWB07
Includes bibliographical references (pages 531-532) and index.
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 -- Cases.