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

Optimized Feature Selection based Predictive Round Robin Scheduling (OFSPRRS) Technique for stream data in big data analytics with higher prediction accuracy and lesser scheduling time. In OFSPRRS technique, Least Absolute Shrinkage and Selection Operator (LASSO) function is used for feature selecti...

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Bibliographic Details
Published in:International journal of advanced research in computer science 2017-09, Vol.8 (8), p.405-406
Main Author: Arunadevi, N.
Format: Article
Language:English
Subjects:
Analytics
Big Data
Data analysis
Data management
Design of experiments
Predictions
Production planning
Scheduling
Online Access:Get full text
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Summary:Optimized Feature Selection based Predictive Round Robin Scheduling (OFSPRRS) Technique for stream data in big data analytics with higher prediction accuracy and lesser scheduling time. In OFSPRRS 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.
ISSN:0976-5697
0976-5697
DOI:10.26483/ijarcs.v8i8.4773