DocumentCode
509444
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
Volume
1
fYear
2009
fDate
12-14 Dec. 2009
Firstpage
337
Lastpage
340
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
Conference_Location
Changsha
Print_ISBN
978-0-7695-3865-5
Type
conf
DOI
10.1109/ISCID.2009.92
Filename
5370392
Link To Document