Get a data mining recipe for success to increase profits and reduce costs in today's business world with This CD-ROM provides actual, tested models of the most commonly asked data mining questions for marketing, sales, risk analysis, customer retention and support, and other key business applications. Complete, working code written in SAS will help you directly implement models, with or without an automated mining tool. With this invaluable resource, you'll be able to target the best customers, improve sales and services, and increase overall profitability for your company. Step-by-step guidance on how to create, evaluate, validate, and implement models, plus a review of the basics, are available through the companion book, Data Mining Cookbook (sold separately from Wiley). Minimum System Requirements: Windows(r) 95, NT 4.0 or higher; 200 MHz Pentium; 64 MB RAM required. Recommended System Requirements: Windows(r)95, NT 4.0 or higher; 500 MHz Pentium and 128 MB RAM.Hard drive space: No installation to the hard drive is necessary, but to make a local copy of all the files on the CD-ROM requires 10 MB of free space. Peripherals: CD-ROM drive.You will also need to have the following applications to make full use of the CD-ROM: a running copy of SAS 6. 12 or higher to process SAS code provided; Microsoft(r) Excel 97/2000 or 5.0/95 to use the spreadsheets; a browser such as Microsoft(r) Internet Explorer or Netscape Navigator to open the readme.htm and navigate the CD-ROM.Visit our Web site at www wiley.com/compbooks/Visit the companion Web site at dataminingcookbook.wiley.comAbout the Author:
OLIVIA parr rud (Olivia@ datasquare.com) is Executive Vice President of Data Square, LLC, a leading database marketing consulting firm. She has over 22 years' experience in data mining, predictive modeling, and segmentation for a variety of industries, including credit card, insurance, high-tech, telecommunications, and catalog industries. She provides analysis and solutions for her clients in the areas of acquisition, retention, risk, and overall profitability for direct mail, telemarketing, broadcast marketing, and the Internet.
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