Java Data Mining: Strategy, Standard, and Practice: A Practical Guide for Architecture, Design, and Implementation

Overview

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.
—Robert Grossman, Open Data Group and University of Illinois at Chicago

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

Whether you are a software developer, systems architect, data analyst, or business analyst, if you want to take advantage of data mining in the development of advanced analytic applications, Java Data Mining, JDM, the new standard now implemented in core DBMS and data mining/analysis software, is a key solution component. This book is the essential guide to the usage of the JDM standard interface, written by contributors to the JDM standard.

The book discusses and illustrates how to solve real problems using the JDM API. The authors provide you with:

• Data mining introduction—an overview of data mining and the problems it can address across industries; JDM’s place in strategic solutions to data mining-related problems;
• JDM essentials—concepts, design approach and design issues, with detailed code examples in Java; a Web Services interface to enable JDM functionality in an SOA environment; and illustration of JDM XML Schema for JDM objects;
• JDM in practice—the use of JDM from vendor implementations and approaches to customer applications, integration, and usage; impact of data mining on IT infrastructure; a how-to guide for building applications that use the JDM API.
• Free, downloadable KJDM source code referenced in the book available here

Mark F. Hornick is a senior manager of Data Mining Technologies at Oracle Corporation. He has lead the Java Data Mining (JSR-73) expert group since July of 2000, and now the JSR-247 expert group working towards JDM 2.0. Mark brings 20 years experience in the design and implementation of advanced software systems.

Erik Marcadé is Founder and Chief Technical Officer of KXEN, which provides next generation business analytics software, and a member of the JSR-73 and JSR-247 expert group.

Sunil Venkayala is a J2EE and XML group leader and a Principal Member of Technical Staff at Oracle Corporation. Sunil is also an expert group member of the Java Data Mining (JDM) standard developed under JSR-73 and JSR-247.

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