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.
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Pawel Cichosz, Department of Electronics and Information Technology, Warsaw University of Technology, Poland.
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Zustand: New. 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. Num Pages: 716 pages, black & white illustrations. BIC Classification: PBKS; UMB; UNF. Category: (P) Professional & Vocational. Dimension: 252 x 177 x 41. Weight in Grams: 1376. . 2015. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. Artikel-Nr. V9781118332580
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Buch. Zustand: Neu. Neuware - 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. Artikel-Nr. 9781118332580
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