Improving classification accuracy of cancer types using parallel hybrid feature selection on microarray gene expression data

标题
Improving classification accuracy of cancer types using parallel hybrid feature selection on microarray gene expression data
作者
关键词
Parallelized hybrid feature selection, Correlation feature subset selection, Rank-based methods, Parallel classification, Spark, DistributedWekaSpark
出版物
Genes & Genomics
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2019-08-19
DOI
10.1007/s13258-019-00859-x

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