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Tutorial Advanced Level 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 Preliminary Concepts

1. Introduction
2. The Data Mining Process
3. Overview about the methods
4. Data Preparation
5. Feature Selection

Part II Concepts for Data Mining

1. Decision Trees
2. Rule Induction
3. Case-Based Reasoning
4. Clustering
5. Incremental Concept Learning
6. Visualization
7. Evaluation of the Model

Part III Applications

1. Mining Images
2. WebMining and WebImageMining
3. Outlook and Conclusions

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