OPTIMIZED FEATURE SELECTION BASED PREDICTIVE ROUND ROBIN SCHEDULING (OFS-PRRS)

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N. Arunadevi
Dr.Vidyaa Thulasiraman

Abstract

Optimized Feature Selection based Predictive Round Robin Scheduling (OFS-PRRS) Technique for stream data in big data analytics with higher prediction accuracy and lesser scheduling time. In OFS-PRRS technique, Least Absolute Shrinkage and Selection Operator (LASSO) function is used for feature selection. LASSO function in big data analytics is used based on assumption of linear dependency between input features and output value.

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