文档介绍：P088407- 5/3/05 2:21 PM Page i
Data Mining
Practical Machine Learning Tools and Techniques
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The Morgan Kaufmann Series in Data Management Systems
Series Editor: Jim Gray, Microsoft Research
Data Mining: Practical Machine Learning Understanding SQL and Java Together: A Principles of Database Query Processing for
Tools and Techniques, Second Edition Guide to SQLJ, JDBC, and Related Advanced Applications
Ian H. Witten and Eibe Frank Technologies Clement T. Yu and Weiyi Meng
Jim Melton and Andrew Eisenberg
Fuzzy Modeling and ic Algorithms for Advanced Database Systems
Data Mining and Exploration Database: Principles, Programming, and Carlo Zaniolo, Stefano Ceri, Christos
Earl Cox Performance, Second Edition Faloutsos, Richard T. Snodgrass, V. S.
Patrick O’Neil and Elizabeth O’Neil Subrahmanian, and Roberto Zicari
Data Modeling Essentials, Third Edition
Graeme C. Simsion and Graham C. Witt The Object Data Standard: ODMG Principles of Transaction Processing for the
Edited by R. G. G. Cattell, Douglas K. Systems Professional
Location-Based Services Barry, Mark Berler, Jeff Eastman, David Philip A. Bernstein and Eric er
Jochen Schiller and Agnès Voisard Jordan, Craig Russell, Olaf Schadow,
Torsten Stanienda, and Fernando Velez Using the New DB2: IBM’s Object-Relational
Database Modeling with Microsoft® Visio for Database System
Enterprise Architects Data on the Web: From Relations to Don Chamberlin
Terry Halpin, Ken Evans, Patrick Hallock, Semistructured Data and XML
and Bill Maclean Serge Abiteboul, Peter Buneman, and Dan Distributed Algorithms
Suciu Nancy A. Lynch
Designing Data-Intensive Web Applications
Stefano Ceri, Piero Fraternali, Aldo Bongio, Data Mining: Practical Machine Learning Active Database Systems: Triggers and Rules
Marco Brambilla, ai, and Tools and Techniques with Java For Advanced Database Processing
Maristella Matera Implementations Edited by Jennifer