53 citations · 53 across the 1 of their papers we have counts for
2 papers
cs.LG2019★ 53 cited
Distributed Correlation-Based Feature Selection in Spark
Raul-Jose Palma-Mendoza, Luis de-Marcos, Daniel Rodriguez +1
CFS (Correlation-Based Feature Selection) is an FS algorithm that has been successfully applied to classification problems in many domains. We describe Distributed CFS (DiCFS) as a…
cs.LG2018
Distributed ReliefF based Feature Selection in Spark
Raul-Jose Palma-Mendoza, Daniel Rodriguez, Luis de-Marcos
Feature selection (FS) is a key research area in the machine learning and data mining fields, removing irrelevant and redundant features usually helps to reduce the effort required…