BOVW Classification Method with Particle Swarm Optimization in Big Data

Abstract

Big data technologies applied in many areas, including physical, biological and biomedical sciences and engineering. They were also used in government agencies, financial companies, large enterprises, etc. The key goal of this paper is to identify the problems and investigate possible solutions to the process of huge data handling. In this paper Introduce Bag of visual with PSO algorithms, PSO algorithm allows the time reduction expenditures for the developed Classifiers that are very important to the problem of Big Data classification. While comparing existing methods with the proposed PSO optimization with BOVW Classification method provide 98 % accuracy results.