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Integrating Data Mining and Agent Based Modeling and Simulation
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Integrating Data Mining and Agent Based Modeling and Simulation
Omar Baqueiro20  , Yanbo J. Wang21 , Peter McBurney22 and Frans Coenen22
| (20) |
Department of Structural Development of Farms and Rural Areas, Institute Of Agricultural Development in Central and Eastern Europe (IAMO), Theodor-Lieser-Str.2, Halle (Saale), D-06120, Germany |
| (21) |
Information Management Center, China Minsheng Banking Corp. Ltd., Room 606, Building No. 8, 1 Zhongguancun Nandajie, Beijing, 100873, China |
| (22) |
Department of Computer Science, University of Liverpool, Ashton Building, Ashton Street, Liverpool, L69 3BX, UK |
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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