Picture of Data Mining: A Tutorial Based Primer

Data Mining: A Tutorial Based Primer

Richard Roiger, Michael Geatz

Addison Wesley

October 2002

Paperback, 408 pages

ISBN: 0201741288

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Description

This primer on data mining provides an introduction to the principles and techniques for extracting information from a business–minded perspective. A basic familiarity with the field of data mining concepts is built and then enhanced via 13 data mining tutorials. Upon completion of these tutorials, students will be fully able to data mine. This book is appropriate for students of CS, MIS, and Information Technology.



Features


Features

  • Has a learn by doing approach to teaching the basic theory and how–to of data mining.
  • Includes numerous Data Mining Sessions (step by step instructions) throughout the chapters.
  • The software that accompanies the book (an Excel based add–on) gives first hand experience with the data mining process.
  • Numerous business, science and health data sets are introduced and used in the text. The actual data sets are included in the accompanying CDROM.
  • End of chapter material includes basic chapter review questions, more data mining projects, and theoretical based questions.
  • Includes introduction to closely related topics: data warehouse design, rule based expert systems, intelligent agents



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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