AN INTELLIGENT METAHEURISTIC BINARY PIGEON OPTIMIZATION-BASED FEATURE SELECTION AND BIG DATA CLASSIFICATION IN A MAPREDUCE ENVIRONMENT

An Intelligent Metaheuristic Binary Pigeon Optimization-Based Feature Selection and Big Data Classification in a MapReduce Environment

Big Data are highly effective for systematically extracting and analyzing massive data.It can be useful to manage data proficiently over the conventional data handling approaches.Recently, several schemes have been developed for handling big datasets with several features.At the same time, feature selection (FS) methodologies intend to eliminate re

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Comparison of Multiple-Locus Variable-Number Tandem Repeat Analysis Profiles of Enteropathogenic Yersinia spp. Obtained from Humans, Domestic Pigs, Wild Boars, Rodents, Pork and Dog Food

The enteropathogenic Yersinia genus is commonly detected in wildlife including wild boars.Difficulties in its cultivation may hamper subsequent epidemiological studies and outbreak investigations.Multiple-locus variable-number tandem repeat analysis (MLVA) of Yersinia (Y.) enterocolitica and Y.pseudotuberculosis has proven useful in source attribut

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