| Content |
Lecturer |
| Part IV Data Mining with Applications in Marketing |
 |
| Data Preparation |
|
| 1. Available Data (Internal and External Data Sources) |
|
| 2. Data Preparation |
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| 3. Typical Data Mining Methods to solve the following business problems: |
 Dipl.-Statistician Ahlemeyer-Stubbe |
| * Respone and Purchase Estimation |
|
| * Cross Selling |
|
| * Chrun Management |
|
| * Target Group Definition |
|
| * Customer Segmentation |
|
| 4. How to use Data Mining Results in Marketing and CRM |
|
| Part V Data Mining with Application in Medicine and Multimedia |
|
| 1. Image Mining |
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| 2. Application IVF (In-Vitro-Vertilisations) Therapy |
|
| 3. Web Mining |
|
| Part VI Practical Work |
|
| 1. Analysis of real Marketing Data with the Data Mining Tool Decision Master |
Dipl.-Statistician Ahlemeyer-Stubbe |
| 2. Monitoring and Analysis of E-Marketing Activities |
Prof.Perner |
| 3. Analysis of User Navigation Data by the LogFile Analysis Tool NetLog |
|
