Content |
8.30 am |
Part I Introduction |
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1. The Data Mining Process |
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2. Overview about the Methods |
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3. Data Preparation |
10.30 am |
Coffee Break |
11.00 am |
Part II Concepts for Data Mining |
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1. Decision Trees |
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2. Rule Induction |
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3. Case-Based Reasoning |
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4. Clustering |
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5. Incremental Concept Learning |
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6. Association Rules |
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7. Visualization |
01.00 pm |
Lunch Break |
02.00 pm |
Part III Evaluation of the Model |
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Part IV Data Mining with Applications in Marketing |
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Data Preparation |
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1. Available Data (Internal and External Data Sources) |
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2. Data Preparation |
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3. Typical Data Mining Methods to solve the following business problems: |
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* Respone and Purchase Estimation |
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* Cross Selling |
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* Chrun Management |
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* Target Group Definition |
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* Customer Segmentation |
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4. How to use Data Mining Results in Marketing and CRM |
04.00 pm |
Coffee Break |
04.30 pm |
Part V Aspects of Data Mining |
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1. Image Mining |
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2. Application IVF (In-Vitro-Vertilisations) Therapy |
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3. Web Mining |
06.30 pm |
End of Tutorial Day |