文章基本信息

标题：Performance Comparison of FSA Red & Apriori Algorithm’s in Mutation Analysis
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作者：Mayilvaganan M ; Hemalatha R
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2014
卷号：17
期号：4
页码：205-209
DOI：10.14445/22312803/IJCTT-V17P139
出版社：Seventh Sense Research Group
摘要：In this paper the attempt has been made to analyze the DNA gene cancer dataset with RBC ,WBC and platelet cancer data set. The basic idea behind this proposed method is comparing the 3 large nucleotide DNA dataset with with Bloom filter and discovering the matched subsequence. To validate the proposed algorithm, association and classification rule based on the FSA red algorithm with bloom filters and apriori algorithm using hierarchical clustering are compared using data mining technique. Here this algorithm is applied to find no of sequence occurrences and mutation analysis for the 3 nucleotide DNA gene dataset. In order to evaluate the proposed methodology, Comparisons are made based on the Execution time and memory efficiency in finding frequent patterns. The extracted rules and analyzed results are graphically demonstrated. The performance is analyzed based on the different no of instances and confidence in DNA sequence data set.
关键词：Association Rule and Classification; Zero rule; fsa red and Apriori algorithm.