Title :
A hybrid classification approach
Author :
Shaoyi, Lu ; Fuyan, Liu
Author_Institution :
Hangzhou Inst. of Electron. Eng., China
Abstract :
A hybrid classification approach, which is based on basic principles of both information theory and set theory, is proposed in this paper. It is used for discovering classification rules from a database. By using this method the process of knowledge discovery will be shortened and the knowledge, which is discovered, will be simple and reliable
Keywords :
classification; data mining; information theory; set theory; very large databases; classification rule discovery; data mining; hybrid classification approach; information theory; knowledge discovery; large database; set theory; Data mining; Data processing; Genetic communication; Information entropy; Information theory; Machine learning; Mutual information; Set theory; Spatial databases; Visual databases;
Conference_Titel :
Info-tech and Info-net, 2001. Proceedings. ICII 2001 - Beijing. 2001 International Conferences on
Conference_Location :
Beijing
Print_ISBN :
0-7803-7010-4
DOI :
10.1109/ICII.2001.983039
