Java Data Mining: Strategy, Standard, and Practice

Java Data Mining: Strategy, Standard, and Practice: A Practical Guide for architecture, design, and implementation
Publisher: Morgan Kaufmann | ISBN: 0123704529 | edition 2007 | File type: PDF | 545 pages | 10,6 mb
This is not only a great introduction to JDM, but also a great introduction for a practitioner to data mining in general. This is a must havequot; for anyone developing large scale data mining applications in Java
It pleases me that the Java Community Process(sm)(JCPsm) Program could host the development of the Data Mining standard, JSR 73, whose evolution and usability are presented so compellingly in Java Data Mining: Standard, Strategy and Practice. The authors have taken a unique approach to describing a broad range of aspects from strategies to problem solving with data mining technology in a variety of industries. The book is a must-read for those who want to introduce themselves to Java data mining (JDM) and fully realize the strategic importance of this technology in an ever competitive environment.

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