Evolutionary feature selection for big data classification: a MapReduce approach

DOI10.1155/2015/246139zbMath1395.62170OpenAlexW1952835952WikidataQ59117715 ScholiaQ59117715MaRDI QIDQ1665073

Y. Aharonov

Publication date: 27 August 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2015/246139

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (3)

Data learning from big data ⋮ A semi-parallel framework for greedy information-theoretic feature selection ⋮ A Detailed Study of the Distributed Rough Set Based Locality Sensitive Hashing Feature Selection Technique

Uses Software

• MapReduce
• MPI
• Hadoop
• SparkSeq

Cites Work

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• Data and task parallelism in ILP using mapreduce
• Wrappers for feature subset selection
• Advances in instance selection for instance-based learning algorithms
• 10.1162/153244303322753616
• Nonlinear Dimensionality Reduction
• Computational Methods of Feature Selection
• Nearest neighbor pattern classification

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