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Scholars Journal of Engineering and Technology | Volume-5 | Issue-07
An Implementation of Sequential Rule Mining Using Mapreduce Based Genetic Algorithm
Amanjeet Kour, Om prakash Dewangan, Toran verma
Published: July 30, 2017 |
129
100
DOI: 10.21276/sjet
Pages: 335-339
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Abstract
Sequential rule mining is a fundamental technique of data mining which has many application one of which is
in the area of bioinformatics. Bioinformatics is an application of information technology to store gigantic biological data
in an organised way so that the data can easily be analysed. These biological data is in form of sequences of proteins and
sequence analysis is one of the major research areas in bioinformatics. These Bioinformatics data are incremental
datasets and at the present era of cheap information technology these bioinformatics data has become big data. Efficient
mining of big data require parallel as well as iterative techniques. Here we propose a technique to analyse these
sequential data and extract sequential rule using map reduce Framework of Hadoop mounted over genetic algorithm.
Map reduce is responsible for parallelizing of mining technique where as genetic algorithm would work in an iterative
manner to generate sequential rules from DNA sequences.