Java Data Mining: Strategy, Standard, and Practice : A Practical Guide for Architecture, Design, and Implementation (The Morgan Kaufmann Series in Data Management Systems)

Hornick, Mark F./ Marcadé, Erik/ Venkayala, Sunil

Morgan Kaufmann Publishers In（2006/11発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 544 p.
• 言語 ENG
• 商品コード 9780123704528
• DDC分類 005.74

基本説明

Practically focused, with concepts and code examples that ilustrate the use of the JDM API for various types of industries - retail, telecom, banking, insurance, healthcare.

Full 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.

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