A Hybrid Approach of Deep Learning with Cognitive Particle Swarm Optimization for the Big Data Analytics

The present information age is witnessing explosion in the data generated, due to the growth in the electronic information which are collectively known as Big Data. The data produces from wide variety of sources such as public web, Social media, Machine logs, Sensor data, Health Care. Since each and every data being produced is equally important for the decision making process, we need to examining these large amounts of the data to uncover the hidden patterns, known as Big Data Analytics. Hence solutions need to be provided to extract the meaningful values from these datasets. In order to cope with these problems, a Cognitive Particle Swarm Optimization (CPSO) in combination with Deep Learning (DL) is proposed. The results obtained with datasets are analyzed which reveal that the proposed method, called CPSODL, outperforms the existing classifiers.