Java Data Mining: Strategy, Standard, and Practice: A Practical Guide for architecture, design, and implementation

Java Data Mining: Strategy, Standard, and Practice: A Practical Guide for architecture, design, and implementation
by Mark F.Hornick, Erik Marcadé & Sunil Venkayala
Morgan Kaufmann | ISBN: 0123704529 | 2007. | 545 p. | RARed PDF 4.11MB
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.
-Onno Kluyt, senior director, JCP Program at Sun Microsystems, Inc. and Chair of the JCP

Java is now ubiquitous, and over the past few years the Java world has shifted focus on–among other things–new frameworks, such as the Java Data Mining (JDM) framework. JDM addresses a clear need for standardization in data mining operations, yet to those approaching both Java and data mining the mountain seems as Everest. Hornick, Marcadé, and Venkayala could not have written this book at a better time. To the expert it is a reference and map of the landscape, and to the novice it will be a constant guide and companion to each journey in JDM. This book is approachable, usable, practical, and necessary for any Java data mining software architect, developer, or analyst.
-Frank Byrum, Chief Scientist, CorMine Intelligent Data, LLC


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