1, data warehouse principle and on-line analysis technology. This paper introduces the data warehouse structure system, data extraction, data model transformation and loading, metadata management OLAP concept and its data model.

Display of multidimensional data

2. Data warehouse design and development Data warehouse analysis and design Difficulties in the process of data warehouse development Data warehouse technology and development Multidimensional data analysis OLAP

3. Decision Support System Based on Data Warehouse

Multi-dimensional analysis and cause analysis of queries and reports based on data warehouse can make real-time decisions and predict the future.

Automatic decision-making and its application

4. Data Warehouse Case Analysis Statistics Industry Data Warehouse System Wal-Mart Data Warehouse System

5. Tasks of data mining and knowledge discovery and methods and related technologies of object data mining.

6. Association analysis algorithm and case classification association rules Aprior algorithm is explained in detail. Generating association rules from frequent itemsets is a case study of shopping baskets based on Climentine.

7. Clustering analysis algorithm and its case, the concept of clustering analysis The main clustering method, K-means algorithm, explains the user data clustering example based on Climentine in detail.

8. Other data mining algorithms introduce decision tree algorithm and neural network algorithm.