DocumentCode
2652315
Title
Cloud Parallel Genetic Algorithm for Gene Microarray Data Analysis
Author
Palomino, Rommel A Benites ; Liang, Lily R.
Author_Institution
Dept. of Comput. Sci. & Inf. Technol., Univ. of the District of Columbia, Washington, DC, USA
fYear
2011
fDate
7-9 Nov. 2011
Firstpage
932
Lastpage
933
Abstract
In this paper we propose FM-PGA, a MapReduce-based hybrid of FM-test and Parallel Genetic Algorithm (PGA), to analyze gene micro array data on cloud computing platform. We investigate the performance of FM-PGA on real-world micro array data and compare it with FM-GA and MapReduce PGA. The experimental results confirm that the genes selected by FM-PGA achieve comparable classification accuracy while the time to achieve that accuracy is significantly reduced.
Keywords
biology computing; cloud computing; data analysis; genetic algorithms; pattern classification; FM-PGA; FM-test; MapReduce based hybrid; classification accuracy; cloud parallel genetic algorithm; gene microarray data analysis; Accuracy; Cloud computing; Data analysis; Decision trees; Educational institutions; Electronics packaging; Genetic algorithms; Cloud Computing; Gene Microarray; Genetic Algorithm; Parallel Computing;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence (ICTAI), 2011 23rd IEEE International Conference on
Conference_Location
Boca Raton, FL
ISSN
1082-3409
Print_ISBN
978-1-4577-2068-0
Electronic_ISBN
1082-3409
Type
conf
DOI
10.1109/ICTAI.2011.160
Filename
6103451
Link To Document