Imbalanced data classification using MapReduce and relief
Joanna Jędrzejowicz, Robert Kostrzewski, Jakub Neumann, Magdalena Zakrzewska · Journal of Information and Telecommunication · 2018
Classification of imbalanced data has been reported to require modification of standard classification algorithms and lately has attracted a lot of attention due to practical applications in industry, banking and finance. The aim of the paper is to examine algorithms known from literature when two modifications are introduced: MapReduce to parallelize computations and Relief to select most valuable attributes. Both modifications are needed in Big Data area. Also two new algorithms are considered.