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Synopsis
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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About the Author
Pawel Cichosz, Department of Electronics and Information Technology, Warsaw University of Technology, Poland.
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Data Mining Algorithms (Hardcover)
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John Wiley & Sons Inc, New York, 2015
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ISBN 13: 9781118332580
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Hardcover. Condition: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781118332580
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