SAS Press Series» Recommended Books
Data Mining Books
Recommended reading from SAS Publishing
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Competing on Analytics: The New Science of Winning
By Thomas Davenport and Jeanne Harris
ISBN: 978-1-42210-332-6 |
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Credit Risk Scorecards: Developing and Implementing Intelligent Credit Scoring
By Naeem Siddiqi, M.B.A.
ISBN: 978-0-471-75451-0
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CRM Segmentation and Clustering Using SAS Enterprise Miner
By Randall S. Collica
ISBN: 978-1-59047-508-9 |
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Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management, Second Edition
By Michael Berry and Gordon Linoff
ISBN: 978-0-471-47064-9 |
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Data Preparation for Analytics Using SAS
By Gerhard Svolba
ISBN: 978-1-59994-047-2 |
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Decision Trees for Business Intelligence and Data Mining: Using SAS Enterprise Miner
By Barry deVille
ISBN: 978-1-59047-567-6 |
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Integrating Results through Meta-Analytic Review Using SAS Software
By Morgan C. Wang, Ph.D., and Brad J. Bushman, Ph.D.
ISBN: 978-1-58025-293-5 |
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Introduction to Data Mining Using SAS Enterprise Miner
By Patricia Cerrito
ISBN: 978-1-59047-829-5 |
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Managing Data Mining: Advice from Experts
By Stephan Kudyba
ISBN: 978-1-59140-243-5 |
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Mastering Data Mining: The Art and Science of Customer Relationship Management
By Michael Berry and Gordon Linoff
ISBN: 978-0-471-33123-0 |
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Multivariate Data Reduction and Discrimination with SAS Software
By Ravindra Khattree, Ph.D., and Dayanand N. Naik, Ph.D.
ISBN: 978-1-58025-696-4 |
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Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications
By Kattamuri Sarma
ISBN: 978-1-59047-703-8 |
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Principles of Data Mining
By David J. Hand, Heikki Mannila, and Padhraic Smyth
ISBN: 978-0-262-08290-7 |
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