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Tutorial Data Mining

Dr. Petra Perner, Institute of Computer Vision and Applied Computer Sciences, Leipzig/Germany

The tutorial will give you an introduction to data mining and will describe specific data mining method such as e.g. decision tree induction, rule induction and case-based reasoning. It is an excerpt of the course Data Mining that had been given with great success at Tampere University/Finnland. The course material is based on the book P. Perner Data Mining for Multimedia Data that will be publsihed by Springer Verlag.

Content

Part I Introduction

1. The Data Mining Process
2. Overview about the methods
3. Data Preparation

Part II Data Preparation

1. Feature Subset Selection
2. Data Transformation

Part III Concepts for Data Mining

1. Decision Trees
2. Rule Induction
3. Case-Based Reasoning
4. Clustering
5. Incremental Concept Learning
6. Association Rules
7. Visualization

Part IV Evaluation

1. Evaluation of the Model
2. Selection of the Method
3. Outlook and Conclusions

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