Data mining algorithms: explained using R

By: Cichosz, Pawel [Author ]Material type: Text

TextLanguage: English Publication details: New Jersey: Wiley Data and Cybersecurity, 2015. Edition: 1st edDescription: 683pISBN: 9781118950845Subject(s): Decision trees and Naïve Bayes classifier | Linear classification and Misclassification costs | Linear regression and Regression treesDDC classification: 005.7 Online resources: Click here to access online

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings ( 1 )
Title notes ( 1 )

Holdings
Item type	Current library	Call number	Status	Date due	Barcode
e-Books	Dr. S. R. Ranganathan Library Ebook (Online Access)	005.7 (Online Access) (Browse shelf(Opens below))	Available		EB0119

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.