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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...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Burlington :
Elsevier,
2006.
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| Colección: | Morgan Kaufmann series in data management systems.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Front Cover; Java Data Mining: Strategy, Standard, and Practice; Copyright Page; Contents; Preface; Guide to Readers; Part I : Strategy; Chapter 1. Overview of Data Mining; Chapter 2. Solving Problems in Industry; Chapter 3. Data Mining Process; Chapter 4. Mining Functions and Algorithms; Chapter 5. JDM Strategy; Chapter 6. Getting Started; Part II : Standards; Chapter 7. Java Data Mining Concepts; Chapter 8. Design of the JDM API; Chapter 9. Using the JDM API; Chapter 10. XML Schema; Chapter 11. Web Services; Part III : Practice; Chapter 12. Practical Problem Solving.
- Chapter 13. Building Data Mining Tools Using JDMChapter 14. Getting Started with JDM Web Services; Chapter 15. Impacts on IT Infrastructure; Chapter 16. Vendor Implementations; Part IV : Wrapping Up; Chapter 17. Evolution of Data Mining Standards; Chapter 18. Preview of Java Data Mining 2.0; Chapter 19. Summary; Further Reading; Glossary; Index; About the Authors.