Title :
Database clustering for mining multi-databases
Author :
Zhang, Chengqi ; Zhang, Shichao
Author_Institution :
Fac. of Inf. Technol., Univ. of Technol., Broadway, NSW, Australia
fDate :
6/24/1905 12:00:00 AM
Abstract :
Presents an efficient and effective application-independent database cluster for mining multi-databases. Our experimental results show that the proposed approach is effective and promising
Keywords :
data mining; database management systems; pattern clustering; set theory; application-independent database cluster; database clustering; database mining; multi-databases; Algorithm design and analysis; Australia; Clustering algorithms; Information technology; Itemsets; Transaction databases;
Conference_Titel :
Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7280-8
DOI :
10.1109/FUZZ.2002.1006636
