Data Mining Algorithms: Explained Using R
Book information
Description
Data Mining Algorithms is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for building classification, regression, and clustering models, as well as techniques used for attribute selection and transformation, model quality evaluation, and creating model ensembles. The author presents many of the important topics and methodologies widely used in data mining, whilst demonstrating the internal operation and usage of data mining algorithms using examples in R.
Similar books
R in Action: Data Analysis and Graphics with R (Additional materials)
RAR
Using R for Data Analysis and Graphics: Introduction, Code and Commentary
Visualize This: The FlowingData Guide to Design, Visualization, and Statistics
R Data Visualization Cookbook
Теория пространственных точечных процессов в задачах экологии и природопользования (с применением пакета R)
RAR
Environmental Stats for S-Plus: User's Manual for Version 2.0
RMark: An R Interface for Analysis of Capture-Recapture Data with MARK
