Knowledge mining with ELM system

Authors:
Ilona Bluemke;Agnieszka Orlewicz
Affiliations:
Institute of Computer Science, Warsaw University of Technology, Warsaw, Poland;Institute of Computer Science, Warsaw University of Technology, Warsaw, Poland
Venue:
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II
Year:
2010

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Abstract

The problem of knowledge extraction from the data left by web users during their interactions is a very attractive research task. The extracted knowledge can be used for different goals such as service personalization, site structure simplification, web server performance improvement or even for studying the human behavior. We constructed a system, called ELM (Event Logger Manager), able to register and analyze data from different applications. The registered data can be specified in an experiment. ELM provides several knowledge mining algorithms i.e. Apriori, ID3, C4.5. The objective of this paper is to present knowledge mining in data from interactions between user and a simple application conducted with ELM system.