Title :
Immune-evolutionary strategy and its application
Author :
Jianguo, Zheng ; Fang, Liu ; Licheng, Jiao
Author_Institution :
Key Lab. of Radar Signal Process., Xidian Univ., Xi´´an, China
Abstract :
A novel global parallel algorithm, the immune-evolutionary strategy (IES), is proposed for rule extraction in data-mining; it combines the immune mechanism and the evolutionary mechanism. The main idea of IES is to utilize theoretically background knowledge and local characteristic information for seeking ways and means of finding the optimal solution when dealing with difficult problems. IES is illustrated to be able to improve the stability of the population, increase the holistic performance and make the rules extracted have higher precision.
Keywords :
data mining; database management systems; evolutionary computation; knowledge based systems; parallel algorithms; background knowledge; data-mining; global parallel algorithm; holistic performance; immune-evolutionary strategy; knowledge discovery; large databases; local characteristic information; machine learning; optimal solution; population stability; rule extraction; Data mining; Delta modulation; Evolution (biology); Immune system; Neural networks; Organisms; Radar signal processing; Radar theory; Signal processing; Signal processing algorithms;
Conference_Titel :
Signal Processing, 2002 6th International Conference on
Print_ISBN :
0-7803-7488-6
DOI :
10.1109/ICOSP.2002.1180157
