Using Concept Hierarchies in Knowledge Discover

Marco Eugênio Madeira Di BenedittoLeliane Nunes de Barros

In Data Mining, one of the steps of the Knowledge Discovery in Databases (KDD) process, the use of concept hierarchies as a background knowledge allows to express the discovered knowledge in a higher abstraction level, more concise and usually in a more interesting format. However, data mining for high level concepts is more complex because the search space is generally too big. Some data mining systems require the database to be pre-generalized to reduce the space, what makes difficult to discover knowledge at arbitrary levels of abstraction. To efficiently induce high-level rules at different levels of generality, without pre-generalizing databases, fast access to concept hierarchies and fast query evaluation methods are needed.

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