DocumentCode
2141646
Title
Rule discovery with PVMA algorithm
Author
Xue-song, Yan ; Zhi-Hua, Cui
Author_Institution
Wuhan Univ., China
fYear
2003
fDate
27-29 Aug. 2003
Firstpage
844
Lastpage
846
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/PDCAT.2003.1236429
Filename
1236429
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