Integrating Data Mining and Agent Based Modeling and Simulation

  • Omar Baqueiro
  • Yanbo J. Wang
  • Peter McBurney
  • Frans Coenen
Conference paper

DOI: 10.1007/978-3-642-03067-3_18

Volume 5633 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Baqueiro O., Wang Y.J., McBurney P., Coenen F. (2009) Integrating Data Mining and Agent Based Modeling and Simulation. In: Perner P. (eds) Advances in Data Mining. Applications and Theoretical Aspects. ICDM 2009. Lecture Notes in Computer Science, vol 5633. Springer, Berlin, Heidelberg

Abstract

In this paper, we introduce an integration study which combines Data Mining (DM) and Agent Based Modeling and Simulation (ABMS). This study, as a new paradigm for DM/ABMS, is concerned with two approaches: (i) applying DM techniques in ABMS investigation, and inversely (ii) utilizing ABMS results in DM research. Detailed description of each approach is presented in this paper. A conclusion and the future work of this (integration) study are given at the end.

Keywords

Agents Agent Based Modeling and Simulation Data Mining KDD (Knowledge Discovery in Databases) Process 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Omar Baqueiro
    • 1
  • Yanbo J. Wang
    • 2
  • Peter McBurney
    • 3
  • Frans Coenen
    • 3
  1. 1.Department of Structural Development of Farms and Rural AreasInstitute Of Agricultural Development in Central and Eastern Europe (IAMO)Halle (Saale)Germany
  2. 2.Information Management CenterChina Minsheng Banking Corp. Ltd.BeijingChina
  3. 3.Department of Computer ScienceUniversity of LiverpoolLiverpoolUK