Title :
A novel data mining algorithm based on ant colony system
Author :
Jiang, Wei-Jin ; Xu, Yu-Hui ; Xu, Yu-Sheng
Author_Institution :
Zhuzhou Inst. of Technol., China
Abstract :
Data mining has become of great importance owing to ever-increasing amounts of data collected by large organizations. This paper propose an data mining algorithm called ant-miner (I),which is based on an improvement of ant colony system (ACS) algorithm. Experimental results show that ant-miner (I) has a higher predictive accuracy and much smaller rule list than the original ant-miner algorithm.
Keywords :
data mining; evolutionary computation; ant colony system; ant-miner; data mining; Accuracy; Classification algorithms; Data mining; Databases; Educational institutions; Electronic mail; Machine learning; Machine learning algorithms; Mechanical engineering; Partitioning algorithms; Ant Colony System(ACS) algorithm; Ant-Miner(I); Data mining algorithm;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527259
