DSAE – Deep Stack Auto Encoder and RCBO – Rider Chaotic Biogeography Optimization Algorithm for Big Data Classification

In today’s era Big data classification is a very crucial and equally widely arise issue many applications. Not only engineering applications but also in social, agricultural, banking, educational more are there science where accurate big required. We proposed novel efficient methodology for using Deep stack encoder Rider chaotic biogeography algorithms. Our algorithms the combinations of two First one Optimization algorithm second biogeography-based optimization algorithm. So, we named it as RCBO which integration ROA CBBO. system uses auto purpose training actually produced classification. The Apache spark platform used initial distribution from master node to slave nodes. tested executed on UCI Machine learning set gives excellent results while comparing with other such KNN classification, Extreme Learning Random Forest