Java Data Mining: Strategy, Standard, and Practice

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

* 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

Preface
Guide to Readers
Part I - Strategy
1. Overview of Data Mining
2. Solving Problems in Industry
3. Data Mining Process
4. Mining Functions and Algorithms
5. JDM Strategy
6. Getting Started
Part II - Standard
7. Java Data Mining Concepts
8. Design of the JDM API
9. Using the JDM API
10. XML Schema
11. Web Services
Part III - Practice
12. Practical Problem Solving
13. Building Data Mining Tools using JDM
14. Getting Started with JDM Web Services
15. Impacts on IT Infrastructure
16. Vendor implementations
Part IV. Wrapping Up
17. Evolution of Data Mining Standards
18. Preview of Java Data Mining 2.0
19. Summary
A. Further Reading
B. Glossary