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  • 标题:Mining Gene Expression Data in a Distributed Manner for Cancer Therapeutics
  • 本地全文:下载
  • 作者:Cisy Soman ; Abdul Ali
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2015
  • 卷号:3
  • 期号:10
  • 出版社:S&S Publications
  • 摘要:Gene expression mining has been effectively used for classification and diagnosis of cancer. This paper highlights traditional approaches as well as current advancements in the analysis of the gene expression data fro m cancer perspective. Analysis of such data is important as it leads to knowledge discovery. However, mining data in a centralized system can cause a difficulty in execution. So we are proposing a distributed approach which can improve the performance by reducing the overhead. The distributed approach exploits parallel computation b y splitting the entire process among a number of systems
  • 关键词:Data mining; gene expression data; clustering; association rules; cancer
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