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Data mining algorithms: explained using R
Material type:
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
| 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 |
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| 005.7 (Online Access) Big data: An art of decision making | 005.7 (Online Access) Data analytics and big data | 005.7 (Online Access) Data control: major challenge for the digital society | 005.7 (Online Access) Data mining algorithms: explained using R | 005.7 (Online Access) Designing big data platforms: how to use, deploy, and maintain big data systems | 005.717 Foundations of coding: compression, encryption, error correction | 005.717 Hacking connected cars: tactics, techniques, and procedures |
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.