- Introduction
- Data Mining and the Data Warehouse
- Knowledge Discovery Process
- Environment
- Real life applications
- Formal aspects of learning algorithm
- Data Mining
- Advanced Databases
- Data Mining Functionalities, Classification and Case Study
- Overview of Data Mining Techniques – I
- Overview of Data Mining Techniques – II
- Data Preprocessing
- Association Rules
- Concept Description : Generalization and Characterization
- Mining Frequent Patterns, Association & Correlations
- Classification
- Classification and Prediction
- Clustering
- Cluster Analysis
- Advanced Topics (Mining Complex types of data)
- Applications and Trends in Data Mining
- Data Warehousing
- Data Warehousing Components
- From Data Warehousing to Data Mining
- Data Warehouse Architecture
- Data Warehouse Implementation
- Mapping the data warehouse to a multiprocessor architecture
- Reporting and Query Tools and Applications
- On-Line Analytical Processing (OLAP)
- Security
- Service Level Agreement (SLA)
- Operating the data warehouse
- Capacity Planning
- Tuning and testing the data warehouse
- Backup and Recovery of Data
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Data Warehousing And Data Mining by Dr. P. Rizwan Ahmed
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| Author | Dr. P. Rizwan Ahmed |
|---|---|
| Condition | Used – Good |
| Language | English |
| Publication | Margham Publications |
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