Business Modeling and Data Mining (The Morgan Kaufmann Series in Data Management Systems)
Language: English
Published by Morgan Kaufmann, 2003
Series: Book 26 of 52 - The Morgan Kaufmann Series in Data Management Systems
- Softcover
- New

Seller: GoldBooks, Denver, CO, U.S.A.GoldBooks
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Condition: New
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Seller Inventory # 4A31_85_155860653X
- Title
- Business Modeling and Data Mining (The Morgan Kaufmann Series in Data Management Systems)
- Author
- Pyle, Dorian
- Publisher
- Morgan Kaufmann
- Publication year
- 2003
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 10
- 155860653X
- ISBN 13
- 9781558606531
- Series
- Book 26 of 52: The Morgan Kaufmann Series in Data Management Systems
· Teaches how to discover, construct and refine models that are useful in business situations· Teaches how to design, discover and develop the data necessary for mining · Provides a practical approach to mining data for all business situations· Provides a comprehensive, easy-to-use, fully interactive methodology for building models and mining data· Provides pointers to supplemental online resources, including a downloadable version of the methodology and software tools.
"Synopsis" may belong to another edition of this title.
About the Author
Dorian Pyle is Chief Scientist and Founder of PTI (www.pti.com), which develops and markets Powerhouse™ predictive and explanatory analytics software. Dorian has over 20 years experience in artificial intelligence and machine learning techniques which are used in what is known today as “data mining or “predictive analytics. He has applied this knowledge as a consultant with Knowledge Stream Partners, Xchange, Naviant, Thinking Machines, and Data Miners and with various companies directly involved in credit card marketing for banks and with manufacturing companies using industrial automation. In 1976 he was involved in building artificially intelligent machine learning systems utilizing the pioneering technologies that are currently known as neural computing and associative memories. He is current in and familiar with using the most advanced technologies in data mining including: entropic analysis (information theory), chaotic and fractal decomposition, neural technologies, evolution and genetic optimization, algebra evolvers, case-based reasoning, concept induction and other advanced statistical techniques.
"About the title" may belong to another edition of this title.
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