Introduction to Statistical Tools Used for Data Mining

eBook (PDF), 516 Pages
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Many projects can be very data intensive and the statistical tools taught in traditional college curricula are often inadequate for solving the problem at hand. While there are many aspects and definitions of data mining, the basic idea is to find patterns in data sets. Although marketed for large databases, the techniques are applicable to any size data set. While data management is an important subject, this course will focus on the statistical models used in data mining. It will cover the most useful tools such as linear regression, logistic regression, classification trees, discriminate analysis, neural networks, clustering, nearest neighbors, bump hunting, and market basket analysis. While these data mining tools may sound exotic and difficult to understand, they are actually fairly straightforward and modern software makes it easy to use them. This is a color version for AAA.
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Product Details

James Rutledge
October 1, 2011
File Format
File Size
8.41 MB

Formats for this Ebook

Required Software Any PDF Reader, Apple Preview
Supported Devices Windows PC/PocketPC, Mac OS, Linux OS, Apple iPhone/iPod Touch... (See More)
# of Devices Unlimited
Flowing Text / Pages Pages
Printable? Yes
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