Presenting an applied approach to data mining concepts and methods, using R software for illustration, this book provides a dozen case studies demonstrating applications for the data mining techniques described. --
« Data Mining for Business Analytics : Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and methods, using R software for illustration. Readers will learn how to implement a variety of popular data mining algorithms in R (a free an…
Presenting an applied approach to data mining concepts and methods, using R software for illustration, this book provides a dozen case studies demonstrating applications for the data mining techniques described. --
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 …
Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and methods, using R software for illustration Readers will learn how to implement a variety of popular data mining algorithms in R (a free and op…
Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and methods, using R software for illustration Readers will learn how to implement a variety of popular data mining algorithms in R (a free and op…