Title :
An Efficient Knowledge Discovery Method Based on Swarm Intelligence
Author :
Ying, Li ; Peng, Li ; Chengzhi, Long
Author_Institution :
Comput. Technol. Eng. Inst., Nanchang Univ., Nanchang, China
Abstract :
Knowledge discovery has become of great importance owing to ever-increasing amounts of data collected by large organizations. This paper presents a knowledge discovery method called ant system, which is implemented by improving ant colony algorithm. Through specific application it has been proved that the algorithm is practical in knowledge discovery , and is a good method of knowledge discovery which has a higher accuracy.
Keywords :
data mining; optimisation; ant colony algorithm; knowledge discovery method; swarm intelligence; Algorithm design and analysis; Classification algorithms; Data mining; Databases; Design engineering; Knowledge engineering; Machine learning algorithms; Neural networks; Particle swarm optimization; Partitioning algorithms; Ant colony algorithm(ACS); Ant-System; Knowledge discovery method;
Conference_Titel :
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
Conference_Location :
Changsha
Print_ISBN :
978-0-7695-3865-5
DOI :
10.1109/ISCID.2009.92
