Java data mining strategy, standard, and practice : a practical guide for architecture, design, and implementation /
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...
| Κύριος συγγραφέας: | Hornick, Mark F. |
|---|---|
| Άλλοι συγγραφείς: | Marcade, Erik., Venkayala, Sunil. |
| Μορφή: | Ηλεκτρονική πηγή |
| Γλώσσα: | English |
| Στοιχεία έκδοσης: |
Amsterdam ; Boston :
Elsevier/Morgan Kaufmann,
c2007.
|
| Σειρά: |
Morgan Kaufmann series in data management systems.
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| Θέματα: | |
| Διαθέσιμο Online: |
http://www.sciencedirect.com/science/book/9780123704528 |
| Ετικέτες: |
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Πίνακας περιεχομένων:
- 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.