Title :
Rule discovery with PVMA algorithm
Author :
Xue-song, Yan ; Zhi-Hua, Cui
Author_Institution :
Wuhan Univ., China
Abstract :
Data mining is becoming increasingly important since the size of database grows even larger and the need to explore hidden rules from the database becomes widely recognized. We present PVMA algorithm, a parallel a priori algorithm that uses parallel virtual machine (PVM) to discovery rules in database. This algorithm exploits the data parallelism, by distributing the data being mined across all available processors.
Keywords :
data mining; database management systems; parallel algorithms; PVM; PVMA algorithm; Parallel Virtual Machine; candidate itemsets; data mining; data parallelism; parallel a priori algorithm; rule discovery; Association rules; Companies; Computer science; Credit cards; Data mining; Geology; Itemsets; Parallel processing; Transaction databases; Virtual machining;
Conference_Titel :
Parallel and Distributed Computing, Applications and Technologies, 2003. PDCAT'2003. Proceedings of the Fourth International Conference on
Print_ISBN :
0-7803-7840-7
DOI :
10.1109/PDCAT.2003.1236429
