Search Results for author: Raul-Jose Palma-Mendoza

Found 2 papers, 0 papers with code

Distributed Correlation-Based Feature Selection in Spark

no code implementations31 Jan 2019 Raul-Jose Palma-Mendoza, Luis de-Marcos, Daniel Rodriguez, Amparo Alonso-Betanzos

CFS (Correlation-Based Feature Selection) is an FS algorithm that has been successfully applied to classification problems in many domains.

feature selection

Distributed ReliefF based Feature Selection in Spark

no code implementations1 Nov 2018 Raul-Jose Palma-Mendoza, Daniel Rodriguez, Luis de-Marcos

The results show that the non-distributed implementation is unable to handle such large volumes of data without specialized hardware, while our design can process them in a scalable way with much better processing times and memory usage.

feature selection

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