Data mining algorithms : explained using R

By:

Cichosz, Pawel

Material type: Text

TextPublication details: U K Wiley 2015Description: xxxi, 683p. HBISBN:

978-1118332580

Subject(s):

Computer algorithms Data mining R (Computer program language)

DDC classification:

006.312 CIC

Online resources:

Click here to access online

Summary: 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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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	H.T. Parekh Library	GSB Collection	006.312 CIC (Browse shelf(Opens below))	Available		B2318

Alpha Books 2383/ 02-02-17 Rs.5632/-

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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