If you have an abundance of data, but no idea what to do with it, this book was written for you! Packed with examples from an array of industries, Introduction to Data Mining Using SAS Enterprise Miner provides you with excellent starting points and practical guidelines to begin data mining today. Author Patricia Cerrito encourages you to think of data mining as a process of exploration rather than as a collection of tools to investigate data. In that way, you choose the methods that will extract the most information from your data, and, while there are no right answers to investigating data sets, there are many questions that can be asked to produce meaningful results. Each answer then creates a path that helps you drill down to explore the data fully. It is up to you to determine what is of interest and what is important to analyze.

In addition to providing a basic introduction to the processes and techniques of data mining using SAS Enterprise Miner software, the book also addresses:

Visualizing and summarizing data

Using clustering, association rules, and predictive modeling

Using SAS Text Miner software for text analysis

Writing accurate and effective reports about your data mining results

This book is intended for a broad audience interested in learning about the practical aspects of data mining. Readers should have some basic knowledge of SAS and statistics.

Amazon.com® Reader Reviews (Ranked by Helpfulness)

Average Amazon.com® Rating:  Based on 1 Ratings

not recommend - 2008-08-31
Reviewer Rating:
this book has lots of wrong code with it, and you can't not run it smoothly. Frustrated.

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