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Data Mining: The Textbook

4.40  ·  Rating details ·  15 ratings  ·  1 review

This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues. It goes beyond the traditional focus on data mining problems to introduce advanced data types such as text, time series, discrete sequences, spatial data, graph data, and

Hardcover, Hardcover, 734 pages
Published April 14th 2015 by Springer (first published April 13th 2015)
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Terran M
Nov 18, 2017 rated it it was amazing
Aggarwal deserves to be better known. This is an excellent survey of analytics and data mining models; it's unsuitable as a first book on the topic, but would be excellent as a 3rd or 4th. The great strength is the organized taxonomy in which techniques and subcomponents of techniques are presented. This also leads to some idiosyncracies, such as calling linear regression an advanced special case of classification, which is to put it mildly a minority view.

The strongest parts of the book are his
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