Data mining algorithms: explained using R
Cichosz, Pawel
Data mining algorithms: explained using R - 1st ed. - New Jersey: Wiley Data and Cybersecurity, 2015. - 683p.
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.
9781118950845
Decision trees and Naïve Bayes classifier
Linear classification and Misclassification costs
Linear regression and Regression trees
005.7
Data mining algorithms: explained using R - 1st ed. - New Jersey: Wiley Data and Cybersecurity, 2015. - 683p.
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.
9781118950845
Decision trees and Naïve Bayes classifier
Linear classification and Misclassification costs
Linear regression and Regression trees
005.7