Date and Time

Courses

Note

July 19

 Registration

July 20

9:00-12:00

Session 1:

1. Business Intelligence (BI) & Dada Mining (DM): Definitions & Examples

2. Applications of BI & DM: Methods and Software Tools

3. Emergence of BI: From ERP to BI

4. Key element of BI: ETL, Data Warehousing, Data Mining

14:30-17:30

Session 2:

1. Main Procedure of BI

2. Machine Learning Technology for Data Mining and

Business Intelligence: The case of C-VLSSVM

July 21

9:00-12:00

Session 3:

Main Tasks for DM and BI

1. Regression Analysis：TSP and SVM

2. Clustering/Classification: ANN, DT and Fuzzy Clustering

3. Association Analysis：Association Rules

4. Diagnosis and Prediction：Bayesian Network

5. Particularity and Abnormality：Isolated Point Analysis

14:30-17:30

Session 4:

Markway System 5.0 (1)

1. System Installation, Testing and Running

2. System General Introduction and Functions

  Lap-top Computer

July 22

9:00-12:00

Session 5:

Markway System 5.0 (2)

1. Data Source and Data Processing

2. Statistical Analysis and DM/BI

Lap-top Computer

14:30-17:30

Session 6:

Markway System 5.0 (3)

1. Case Study of DM/BI

2. DM/BI and Intelligent Decision

Lap-top Computer

July 23

9:00-12:00

Session 7:

1. Best Practice of BI

2. Development and Trend of BI

14:30-17:30

Session 8:

New Frontier of BI

1. Web 2.0 and BI 2.0

2. Text Mining

3. Intelligence Mining