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Java data mining : strategy, standard, and practice : a practical guide for architecture, design, and implementation /

Main Author: Hornick, Mark F.
Other Authors: Marcadé, Erik.
Format: Book
Language:English
Published: Amsterdam ; Boston : Elsevier/Morgan Kaufmann, ©2007.
Series:The Morgan Kaufmann series in data management systems
Subjects:
Data mining.
Java (Computer program language)
Exploration de données (Informatique)
Java (Langage de programmation)
COMPUTERS > Desktop Applications > Databases.
COMPUTERS > Database Management > General.
COMPUTERS > System Administration > Storage & Retrieval.
Online Access:http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=195633
Table of Contents:
  • 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.

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