Introduction to Statistical Tools Used for Data Mining

eBook (PDF), 516 Pages
This item has not been rated yet
Price: Free
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.
Available in PDF Format

Ratings & Reviews

Log in to review this item
There are no reviews for the current version of this product
There are no reviews for previous versions of this product

Product Details

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

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
Report This Content to Lulu >

Moderation of Questionable Content

Thank you for your interest in helping us moderate questionable content on Lulu. If you need assistance with an order or the publishing process, please contact our support team directly.

How does this content violate the Lulu Membership Agreement?

Listed In

More From Jim Rutledge, Ph.D.