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cs.DC2022
Scalable mRMR feature selection to handle high dimensional datasets: Vertical partitioning based Iterative MapReduce framework
Yelleti Vivek, P. S. V. S. Sai Prasad
While building machine learning models, Feature selection (FS) stands out as an essential preprocessing step used to handle the uncertainty and vagueness in the data. Recently, the…
cs.DC2022★ 1 cited
Parallel bi-objective evolutionary algorithms for scalable feature subset selection via migration strategy under Spark
Yelleti Vivek, Vadlamani Ravi, P. Radha Krishna
Feature subset selection (FSS) for classification is inherently a bi-objective optimization problem, where the task is to obtain a feature subset which yields the maximum possible…