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
Publisher: Morgan Kaufmann | ISBN: 0123704529 | edition 2006 | File type: PDF | 545 pages | 10,6 mb
Java is now ubiquitous and over the past few years the Java world has shifted focus onamong other thingsnew 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 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.
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