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Knowledge Representation in Data Mining by hoanghuy051230 is a document available to read on EtoBox.

The lecture by Dr. Nguyen focuses on knowledge representation in data mining, covering various methods such as tables, linear models, trees, and rules. It emphasizes the importance of understanding the output and the inference methods associated with different representations. Additionally, the lecture discusses the nuances of classification rules, association rules, and the use of exceptions in rule-based systems.

Author

hoanghuy051230

Language

EN