Introduction to Data Mining and its Applications
Material type:
TextPublication details: New Delhi Springer 2009Description: xxii, 828p. 24 x 18 cmISBN: - 9788184890341
- 380.1 SUM
| Item type | Current library | Collection | Call number | Status | Date due | Barcode |
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Reference
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Raj Kumar Goel Institute of Technology | AIML (Artificial Intelligence and Machine Learning) | 380.1 SUM (Browse shelf(Opens below)) | Not for loan | 96291 | |
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Reference
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Raj Kumar Goel Institute of Technology | AIML (Artificial Intelligence and Machine Learning) | 380.1 SUM (Browse shelf(Opens below)) | Not for loan | 96292 |
1. Introduction to Data Mining Principles
2. Data Warehousing, Data Mining, and OLAP
3. Data Marts and Data Warehouse
4. Evolution and Scaling of Data Mining Algorithms
5. Emerging Trends and Applications of Data Mining
6. Data Mining Trends and Knowledge Discovery
7. Data Mining Tasks, Techniques, and Applications
8. Data Mining: an Introduction – Case Study
9. Data Mining & KDD
10. Statistical Themes and Lessons Data Mining
11. Theoretical Frameworks for Data Mining
12. Major and Privacy Issues in Data Mining and Knowledge Discovery
13. Active Data Mining
14. Decomposition in Data Mining - A Case Study
15. Data Mining System Products and Research Prototypes
16. Data Mining in Customer Value and Customer Relationship Management
17. Data Mining in Business
18. Data Mining in Sales Marketing and Finance
19. Banking and Commercial Applications
20. Data Mining for Insurance
21. Data Mining in Biomedicine and Science
22. Text and Web Mining
23. Data Mining in Information Analysis and Delivery
24. Data Mining in Telecommunications and Control 25. Data Mining in Security
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