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Introduction to Data Mining and its Applications
This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in data base systems and new data base applications and is also designed to give a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing wor...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2006.
|
| Edición: | 1st ed. 2006. |
| Colección: | Studies in Computational Intelligence,
29 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- to Data Mining Principles
- Data Warehousing, Data Mining, and OLAP
- Data Marts and Data Warehouse
- Evolution and Scaling of Data Mining Algorithms
- Emerging Trends and Applications of Data Mining
- Data Mining Trends and Knowledge Discovery
- Data Mining Tasks, Techniques, and Applications
- Data Mining: an Introduction - Case Study
- Data Mining & KDD
- Statistical Themes and Lessons for Data Mining
- Theoretical Frameworks for Data Mining
- Major and Privacy Issues in Data Mining and Knowledge Discovery
- Active Data Mining
- Decomposition in Data Mining - A Case Study
- Data Mining System Products and Research Prototypes
- Data Mining in Customer Value and Customer Relationship Management
- Data Mining in Business
- Data Mining in Sales Marketing and Finance
- Banking and Commercial Applications
- Data Mining for Insurance
- Data Mining in Biomedicine and Science
- Text and Web Mining
- Data Mining in Information Analysis and Delivery
- Data Mining in Telecommunications and Control
- Data Mining in Security.