Data mining algorithms : explained using R
Cichosz, Pawel
Data mining algorithms : explained using R - London Wiley& Sons 2015 - 683p.
Includes bibliographical references and index.
Part I: Preliminaries
Covers learning tasks (classification, regression, clustering), basic statistics, visualization, and practical issues.
Part II: Classification
Discusses decision trees, Naïve Bayes, linear classifiers, misclassification costs, and model evaluation.
Part III: Regression
Explores linear regression, regression trees, and performance evaluation, with extensions beyond linearity.
Part IV: Clustering
Focuses on similarity measures, k-means, hierarchical clustering, and quality evaluation metrics.
Part V: Enhancing Models
Includes ensemble methods, kernel techniques (SVMs), attribute transformation, discretization, and selection.
Case Studies & Appendices
Real-world applications (e.g., Census data, crime analysis), R packages, datasets, and notations.
9781118332580
Data mining.
Computer algorithms.
R (Computer program language)
MATHEMATICS / Probability & Statistics / General.
006.312 / CIC/D
Data mining algorithms : explained using R - London Wiley& Sons 2015 - 683p.
Includes bibliographical references and index.
Part I: Preliminaries
Covers learning tasks (classification, regression, clustering), basic statistics, visualization, and practical issues.
Part II: Classification
Discusses decision trees, Naïve Bayes, linear classifiers, misclassification costs, and model evaluation.
Part III: Regression
Explores linear regression, regression trees, and performance evaluation, with extensions beyond linearity.
Part IV: Clustering
Focuses on similarity measures, k-means, hierarchical clustering, and quality evaluation metrics.
Part V: Enhancing Models
Includes ensemble methods, kernel techniques (SVMs), attribute transformation, discretization, and selection.
Case Studies & Appendices
Real-world applications (e.g., Census data, crime analysis), R packages, datasets, and notations.
9781118332580
Data mining.
Computer algorithms.
R (Computer program language)
MATHEMATICS / Probability & Statistics / General.
006.312 / CIC/D
