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

fYear

2011

fDate

24-26 Oct. 2011

Firstpage

148

Lastpage

154

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Bioengineering (BIBE), 2011 IEEE 11th International Conference on

Conference_Location

Taichung

Print_ISBN

978-1-61284-975-1

Type

conf

DOI

10.1109/BIBE.2011.31

Filename

6089822

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2460397