000			01253nam a2200229 4500
005			20250716165906.0
008			250716b2015|||||||| |||| 00| 0 eng d
020			_a9781118950845
041			_aEnglish
082			_a005.7
100			_aCichosz, Pawel _eAuthor _96827
245			_aData mining algorithms: explained using R
250			_a1st ed.
260			_aNew Jersey: _bWiley Data and Cybersecurity, _c2015.
300			_a683p.
500			_aData 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.
650			_aDecision trees and Naïve Bayes classifier _96828
650			_aLinear classification and Misclassification costs _96829
650			_aLinear regression and Regression trees _96830
856			_uhttps://ieeexplore.ieee.org/servlet/opac?bknumber=9820790
942			_cEB
999			_c1691 _d1691