Map reduce fuzzy ternary particle swarm optimization for feature selection

Abstract

Feature selection is the utmost requirement to deal with high dimensional datasets. In this paper novel fuzzy ternary PSO (FTPSO) method has been proposed. The analysis of proposed algorithm shows that map reduce concept has decreased the processing time of algorithm. Experimental results show the benefits of proposed MRFTPSO.

Keywords:

• Big data
• Map Reduce
• Fuzzy Logic
• Particle Swarm Optimization
• Feature Selection

Mathematics Subject Classification 2010:

• 68W10