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
Book Author
Dr. P. Rizwan Ahmed
Publisher
Margham Publications
Language
English
For
?
Year Published
?