Title :
A Multi-Agent Method for Parallel Mining Based on Rough sets
Author :
Geng, Zhiqiang ; Zhu, Qunxiong
Author_Institution :
Sch. of Inf. Sci. & Technol., Beijing Univ. of Chem. Technol.
Abstract :
Rough set is a relatively new AI technique in data mining. Multi-agent system (MAS) has become a hotspot in the field of distributed AI recently. The challenge of the information age yet has not been resolved and the decision can´t be made precisely and in time according to market and requirements. To improve the performing efficiency of data mining system, the paper defines the novel operations and reasoning of agents and a multi-agent method for parallel rule mining based on rough sets is proposed. The information system is decomposed into many sub-information systems and every sub-information system can be an agent using rough set to acquire rules. From results of parallel mining, decisions can be made quickly and precisely
Keywords :
data mining; inference mechanisms; multi-agent systems; rough set theory; agent reasoning; data mining; multiagent system; parallel rule mining; rough sets; subinformation system; Artificial intelligence; Chemical technology; Data mining; Educational technology; Information science; Intelligent agent; Probability; Rough sets; Set theory; Telecommunication computing; Data mining; Multi-agent; Parallel mining; Rough set;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1714226
