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Data Mining: A Tutorial Based Primer

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Click here to buy Data Mining: A Tutorial Based Primer by  Richard Roiger and Michael Geatz. Data Mining: A Tutorial Based Primer
3.5 out of 5 stars for Data Mining: A Tutorial Based Primer.
by Richard Roiger and Michael Geatz
Sales Rank : 714131
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  • Paperback: 408 pages
  • Publisher: Addison Wesley October 6, 2002
  • Language: English
  • ISBN-10: 0201741288
  • ISBN-13: 978-0201741285
  • Product Dimensions: 9.1 x 7.4 x 0.8 inches
  • Shipping Weight: 1.4 pounds

    Product Description
    Primer on data mining provides an introduction to the principles and techniques for extracting information, from a business-minded executive. Data sets from the CD-ROM are used in examples and exercises. Softcover.

    About The Author

    Richard J. Roiger is a professor of computer science at Minnesota State University, Mankato and a senior software engineer for Information Acumen Corporation (www.infoacumen.com). Richard received a Ph.D. degree in Computer Science from the University of Minnesota in 1991. His research interests include machine learning, knowledge discovery in databases and expert systems. He is a member of the American Association of Artificial Intelligence, the Association for Computing Machinery and IEEE. He is also a musician and songwriter, enjoys spending time with his children and grandchildren and likes playing golf as time permits.

     

    Michael W. Geatz is currently President of Biosensor Research Institute of America Inc. (dba Giant Medical). Formerly, he was Vice President of PulseTracer Technologies Inc., a division of $1.5 billion Zynik Capital Corp. and a software consultant to the financial and medical device industries. He was also co-founder of an artificial intelligence company, Information Acumen Corp., is a named inventor of a patented piezoelectric switch for use in radio frequency identification (RFID) chips as well as the world's first wrist pulse sensor, and is proud of his civilian service to the U.S. Army during the first Gulf war. Educational credentials include an MBA from Golden Gate University in 1991 and a Computer Science degree from University of North Dakota in 1984.

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