Data mining algorithms explained using R / Pawel Cichosz

By:

Cichosz, Pawel [author]

Material type: Text

TextPublication details: United Kingdom : John Wiley & Son, Inc., c2015Description: xxxi, 683 pages : illustrations ; 26 cmISBN:

9781118332580

LOC classification:

QA 76.9.D343 .C53 2015

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.

Item type:

Books

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Holdings
Item type	Current library	Home library	Collection	Call number	Copy number	Status	Date due	Barcode
Books	National University - Manila	LRC - Graduate Studies General Circulation	Gen. Ed. - CCIT	GC QA 76.9.D343 .C53 2015 (Browse shelf(Opens below))	c.1	Available		NULIB000011358

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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 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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