gogo

Data mining for business analytics : concepts, techniques, and applications in R /

Shmueli, Galit, 1971-

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. - xxix, 544 pages : illustrations ; 26 cm. ; cased.

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.

9781118879368 1118879368 9781118879368

2017024503


Business mathematics--Computer programs
Business--Data processing
Data mining.
R (Computer program language)
Mathematics
Computer hardware
Business & Management

/ .S55 2018 / .S56 2018

658.40380285

Powered by Koha