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
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;
Conference_Titel :
Tools with Artificial Intelligence (ICTAI), 2011 23rd IEEE International Conference on
Conference_Location :
Boca Raton, FL
Print_ISBN :
978-1-4577-2068-0
Electronic_ISBN :
1082-3409
DOI :
10.1109/ICTAI.2011.160
