All Title Author
Keywords Abstract

Publish in OALib Journal
ISSN: 2333-9721
APC: Only $99


Relative Articles


Stochastic Mining of Quantitative Association Rules Using Multi Agent Systems

Keywords: Data Mining , Quantitative Association Rules , PSO , Multi Agent Systems

Full-Text   Cite this paper   Add to My Lib


Discovering optimized intervals of numeric attributes in association rule mining has been recognized as an influential research problem over the last decade. There have been several stochastic optimization approaches such as evolutionary and swarm methods which try to find good intervals. One drawback of these approaches is sequential nature which requires multiple runs to find all rules. This paper presents multi agent architecture to find optimized rules simultaneously using adynamic priority schema. The Practical Swarm Optimization (PSO) Variant is modeled and implemented in JADEframework and tested with synthetic datasets. The results confirm finding the same sequential results in parallel.


comments powered by Disqus

Contact Us


WhatsApp +8615387084133

WeChat 1538708413