Java data mining : strategy, standard, and practice : a practical guide for architecture, design, and implementation
Author(s)
Bibliographic Information
Java data mining : strategy, standard, and practice : a practical guide for architecture, design, and implementation
（The Morgan Kaufmann series in data management systems）
Morgan Kaufmann, c2007
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Includes bibliographical references and index
HTTP:URL=http://www.loc.gov/catdir/enhancements/fy0668/2006050783-d.html Information=Publisher description
Description and Table of Contents
Description
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.
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
by "Nielsen BookData"