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DataMining - Introduction to Data Mining and Knowledge...

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Introduction to Data Mining and Knowledge Discovery Third Edition by Two Crows Corporation
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Introduction to Data Mining and Knowledge Discovery, Third Edition ISBN: 1-892095-02-5 © 1999 by Two Crows Corporation. No portion of this document may be reproduced without express permission. For permission, please contact: Two Crows Corporation, 10500 Falls Road, Potomac, MD 20854 (U.S.A.). Phone: 1-301-983-9550; fax: 1-301-983-3554. Web address: www.twocrows.com You’re ready to move ahead in data mining... but where do you begin? Data Mining ’99: Technology Report is an essential guide. Before your staff spends hours gathering information from vendors — and before you hire a consultant — save money by using this report to focus on the products and approaches best suited for your organization’s needs. Data Mining ’99: Technology Report contains a clear, non-technical overview of data mining techniques and their role in knowledge discovery, PLUS detailed vendor specifications and feature descriptions for over two dozen data mining products (check our website for the complete list). It also comes with CD-ROMs that contain selected product demos and vendor-provided case histories. The Technology Report is an extraordinary value for only $695 (additional copies $495 each). Data Mining ’99 is the newest report from Two Crows Corporation. The previous edition (Data Mining: Products, Applications & Technologies) sold out its printing, with purchasers around the world in banking, insurance, telecom, retailing, government, consulting, academia and information systems. We ship Data Mining ’99: Technology Report by air express (FREE within the United States). We’re confident you’ll find this the most useful, comprehensive overview of data mining available anywhere. Contact us now to order your copy of Data Mining ’99: Technology Report. We accept MasterCard, VISA and American Express. Orders from Maryland, please add 5% sales tax. Academic purchasers: ask about special pricing. Two Crows Corporation 10500 Falls Road Potomac, MD 20854 (301) 983-9550 www.twocrows.com
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TABLE OF CONTENTS Introduction Data mining: In brief ................................................................... 1 Data mining: What it can’t do ..................................................... 1 Data mining and data warehousing ............................................. 2 Data mining and OLAP ............................................................... 3 Data mining, machine learning and statistics .............................. 4 Data mining and hardware/software trends ................................. 4 Data mining applications ............................................................. 5 Successful data mining ................................................................ 5 Data Description for Data Mining Summaries and visualization ....................................................... 6 Clustering .................................................................................... 6 Link analysis ............................................................................... 7 Predictive Data Mining A hierarchy of choices ................................................................. 9 Some terminology ..................................................................... 10 Classification ............................................................................. 10 Regression ................................................................................. 10 Time series ................................................................................ 10 Data Mining Models and Algorithms Neural networks ........................................................................ 11 Decision trees ............................................................................ 14 Multivariate Adaptive Regression Splines (MARS) ................. 17 Rule induction ........................................................................... 17 K-nearest neighbor and memory-based reasoning (MBR) ....... 18 Logistic regression .................................................................... 19 Discriminant analysis ................................................................ 19 Generalized Additive Models (GAM) ....................................... 20 Boosting .................................................................................... 20 Genetic algorithms .................................................................... 21 The Data Mining Process Process Models ......................................................................... 22 The Two Crows Process Model ................................................ 22 Selecting Data Mining Products Categories .................................................................................. 34 Basic capabilities ....................................................................... 34 Summary ............................................................................................ 36
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R ELATED R EADINGS Data Mining ’99: Technology Report,
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