Title :
A Complete Algorithm for Attribute Reduction in Rough Set Based on Particle Swarm Optimization
Author_Institution :
Ningbo Int. Port & Logistics Res. Center, Ningbo Univ. of Technol., Ningbo, China
Abstract :
For a complete information system, an algorithm for attribute reduction based on particle swarm optimization (PSO) is presented here with the importance of the property as heuristics by the nature of attribute core. The minimum attribute reduction is attained.
Keywords :
data mining; data reduction; database management systems; minimisation; particle swarm optimisation; rough set theory; complete information system; knowledge database; minimum attribute reduction; particle swarm optimization; rough set theory; Automation; Data mining; Databases; Decision making; Educational institutions; Information systems; Intelligent transportation systems; Logistics; Particle swarm optimization; Set theory;
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
DOI :
10.1109/ICICTA.2009.60
