DocumentCode :
3179856
Title :
OCEC: a novel classification algorithm based on evolutionary computation
Author :
Jing, Lin ; Weicai, ZHONG ; Fang, Liu ; Licheng, Jiao
Author_Institution :
Nat. Key Lab for Radar Signal Process., Xidian Univ., Xi´´an, China
Volume :
2
fYear :
2002
fDate :
26-30 Aug. 2002
Firstpage :
1051
Abstract :
A novel classification algorithm, OCEC (Organizational CoEvolutionary algorithm for Classification), based on evolutionary computation for data mining is proposed. It is compared to GA-based and non GA-based algorithms on 8 datasets from the UCI machine learning repository. Results show OCEC can achieve higher prediction accuracy, smaller number of rules and more stable performance.
Keywords :
classification; data mining; evolutionary computation; learning (artificial intelligence); UCI machine learning repository; classification algorithm; data mining; evolutionary computation; organizational coevolutionary algorithm; prediction accuracy; Accuracy; Classification algorithms; Data mining; Electronic mail; Evolutionary computation; Information systems; Machine learning; Machine learning algorithms; Radar signal processing; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2002 6th International Conference on
Print_ISBN :
0-7803-7488-6
Type :
conf
DOI :
10.1109/ICOSP.2002.1179969
Filename :
1179969
Link To Document :
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