Using Agent Based Modeling and Simulation for Data Mining

  • Emin Kugu
  • Levent Altay
  • Ozgur Koray Sahingoz
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7664)


In recent years, there is an exponential growth of information sources, especially with the increasing usage of Internet. Therefore, there is a growing need for automated tools for obtaining valuable information from these raw data in different data warehouses. Data Mining represents the process of extracting valuable and useful knowledge from large amounts of data. Generating appropriate abstractions from these distributed data warehouses is a challenging task for data mining tools. Data mining is a multidisciplinary research area and it includes database technology, neural networks, artificial intelligence and machine learning etc. It enables valuable information to the end users. However, if the system is newly set and it is in the cold start position with no or little processed data, this influences the system efficiency. There is an additional mechanism for producing realistic data. Agent Based Modeling and Simulation system is a powerful technology by using autonomous intelligent agents and usually can run in distributed environment. This paper emphasizes the approach of using Agent Based Modeling and Simulation for Distributed Data Mining technologies.


Agent MAS Data Mining Agent Based Modeling and Simulation 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Emin Kugu
    • 1
  • Levent Altay
    • 1
  • Ozgur Koray Sahingoz
    • 1
  1. 1.Computer Engineering DepartmentTurkish Air Force AcademyIstanbulTurkey

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