SMART E-ADMISSION SYSTEM WITH PSO SWARM SEARCH AND FEATURE SELECTION TECHNIQUE USING HADOOP

Hadoop is very much suitable for high volume data and it also provides high speed access to the data of the application which we want to use. Using PSO Swarm Search and Feature Selection (FS) technique, which reduces the number of features, noisy, removes irrelevant and redundant data. As data coming from multiple university is vast in this includes storing it into database with proper manner and processing appropriate data in less time, so both this technology can make system smarter than present system. The objective of this paper is to design and implement a smart and efficient online admission system with more advance feature.