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Volume 6, Issue 1, March 2019

Mining Frequent Gene Expression Intervals and Association Rules on Microarray Dataset

R.Vengateshkumar Lawrance.R

  • Abstract

    Data Mining is one of the interdisciplinary fields on the research area. Association rule mining is a data mining technique that plays a vital role in the field of Bio-informatics. Microarray technology is extensively used by the researchers to extract meaningful relations among genes. In this research paper, new association method for microarray gene association analysis called Microarray Gene Expression Interval Association (MGEIA), based on gene expression intervals and association rules has been presented. It discovers the frequent patterns and extracts significant relations among microarray genes. Association rules reveal correlation among the genes and used to provide specific gene targeting treatments.


  • Keywords

    Data Mining, Microarray, Frequent Pattern Mining and Association Rule Mining.


  • Author Affiliations

    R.Vengateshkumar 1

    Lawrance.R 2

    1. Bharathiar University, Coimbatore, Tamil Nadu, India.
    2. Ayya Nadar Janaki Ammal College, Sivakasi, Tamil Nadu, India.
  • Dates

    Manuscript received : 10 December 2018
    Manuscript revised   : 06 January 2019
    Accepted                     : 20 February 2019

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  • Cite this article as:
    R.Vengateshkumar, Lawrance.R, Int.j.of IJACCS(2019)


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    Print ISSN           : 2347 - 9280
    Online ISSN        : 2347 - 9299
    Publisher Name  : Sri Eshwar Publications, Coimbatore, Tamilnadu, India.

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