Title
Performance Evaluation of a Cost-Sensitive Differential Evolution Classifier Using Spark - Imbalanced Binary Classification
Abstract
•Designing a parallel cost-sensitive differential evolution classification algorithm using the Apache Spark framework (SCDE).•Our experiments involve real data sets that are based on intrusion detection.•The SCDE shows robust and efficient for handling binary imbalanced large data sets.•The scalability analysis revealed that the speedup and scaleup results obtained by SCDE are close to optimal.
Year
DOI
Venue
2020
10.1016/j.jocs.2019.101065
Journal of Computational Science
Keywords
DocType
Volume
Differential evolution,Classification,Cost-sensitive,Apache Spark,Imbalanced data set,Big data analytics,Intrusion detection
Journal
40
ISSN
Citations 
PageRank 
1877-7503
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Jamil Al-Sawwa100.34
Simone A Ludwig21309179.41