Description

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: Explained Using R

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Hardback by Pawel Cichosz

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Data Mining Algorithms is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for building... Read more

    Publisher: John Wiley & Sons Inc
    Publication Date: 30/01/2015
    ISBN13: 9781118332580, 978-1118332580
    ISBN10: 111833258X

    Number of Pages: 720

    Non Fiction , Mathematics & Science , Education

    Description

    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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