Title :
Parallel Association Rule Mining for Medical Applications
Author :
Zhang, G.G. ; Xu, C.Z. ; Sheu, Philip C-Y ; Yamaguchi, Hiroshi
Author_Institution :
Tsinghua Nat. Lab. for Inf. Sci. & Technol., Tsinghua Univ., Beijing, China
Abstract :
For real-time applications that consist of massive number of rules, partitioning of the rules to support parallel processing is important. This paper proposes a suite of algorithms called GAPCM for parallel processing of massive number of rules. By considering even distribution, minimal waiting time and minimal inter-processor communication, we propose three algorithms for subnet allocation, and apply these algorithms to association rule mining.
Keywords :
data mining; medical computing; parallel processing; GAPCM algorithm; medical application; minimal interprocessor communication; parallel association rule mining; parallel processing; subnet allocation; Algorithm design and analysis; Association rules; Diseases; Parallel processing; Partitioning algorithms; Program processors; Real time systems; GAPCM; association rule; co-location patterns; massive rules; parallel processing; subnet allocation;
Conference_Titel :
Bioinformatics and Bioengineering (BIBE), 2011 IEEE 11th International Conference on
Conference_Location :
Taichung
Print_ISBN :
978-1-61284-975-1
DOI :
10.1109/BIBE.2011.31
