Java Data Mining: Strategy, Standard, and Practice

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文件名称：Java Data Mining: Strategy, Standard, and Practice
文件大小：10.59MB
文件格式：RAR
更新时间：2013-04-03 16:11:58
Java Data Mining: Java Data Mining: Strategy, Standard, and Practice: A Practical Guide for architecture, design, and implementation Publisher: Morgan Kaufmann | ISBN: 0123704529 | edition 2007 | 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 have" 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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0123704529.pdf