Java Data Mining: Strategy, Standard, and Practice
A Practical Guide for Architecture, Design, and Implementation
Series: The Morgan Kaufmann Series in Data Management Systems;
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Product details:
- Publisher Morgan Kaufmann
- Date of Publication 17 November 2006
- ISBN 9780123704528
- Binding Paperback
- No. of pages544 pages
- Size 235x191 mm
- Weight 920 g
- Language English
- Illustrations Approx. 110 illustrations 0
Categories
Short description:
With the myriad data mining systems, users of data mining are forced to learn the proprietary interfaces of individual data mining software vendors. This poses a burden on developers and the resulting applications they produce for maintainability. Moreover, for users wanting to leverage data mining systems from multiple vendors, having a common interface across all simplifies the development task, as well as application code.
MoreLong description:
Table of Contents:
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
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