Data Mining: A Tutorial Based Primer: International Edition - Couverture souple

Roiger, Richard; Geatz, Michael

 
9780321223494: Data Mining: A Tutorial Based Primer: International Edition

Synopsis

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.

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À propos de l?auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Autres éditions populaires du même titre

9780201741285: Data Mining: A Tutorial-Based Primer

Edition présentée

ISBN 10 :  0201741288 ISBN 13 :  9780201741285
Editeur : Pearson, 2002
Couverture souple