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Knowledge Mining with ELM System

  • Conference paper
Knowledge-Based and Intelligent Information and Engineering Systems (KES 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6277))

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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.

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Author information

Authors and Affiliations

  1. Institute of Computer Science, Warsaw University of Technology, Nowowiejska 15/19, 00-665, Warsaw, Poland

    Ilona Bluemke & Agnieszka Orlewicz

Authors
  1. Ilona Bluemke
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  2. Agnieszka Orlewicz
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Editor information

Editors and Affiliations

  1. School of Engineering, The Parade, Cardiff University, CF24 3AA, Cardiff, UK

    Rossitza Setchi

  2. Dept. of Computer Science and Software Engineering, BUckingham Building, Lion Terrace, University of Portsmouth, PO1 3HE, Portsmouth, UK

    Ivan Jordanov

  3. KES International, 145-157 St. John Street, EC1V 4PY, London, UK

    Robert J. Howlett

  4. School of Electrical and Information Engineering, University of South Australia, Adelaide, Mawson Lakes Campus, 5095, SA, Australia

    Lakhmi C. Jain

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© 2010 Springer-Verlag Berlin Heidelberg

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Bluemke, I., Orlewicz, A. (2010). Knowledge Mining with ELM System. In: Setchi, R., Jordanov, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2010. Lecture Notes in Computer Science(), vol 6277. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15390-7_9

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  • DOI: https://doi.org/10.1007/978-3-642-15390-7_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15389-1

  • Online ISBN: 978-3-642-15390-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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