文章基本信息

标题：Rule Based Classifier Analysis with Nucleotide Sequence in Normal Liver Cells and Cancer Affected Liver Cells
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作者：Mayilvaganan M ; Rajamani R
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：2014
卷号：2
期号：6
出版社：S&S Publications
摘要：The Data mining is the process of finding correlations or patterns among dozens of fields in largerelational databases. Clustering algorithm used to find groups of objects such that the objects in a group will be similar(or related) to one another and different from (or unrelated to) the objects in other groups . This paper comprises oftwo database such as normal liver cells and cancer affected cells. Each character variables are assigned numericnumber and its corresponding pair combination of sequence are represented in a graph. In this paper ,the attempt hasbeen made to analyze the DNA gene liver cancer dataset and normal liver cell data with reference to associationand classification rule based on the FSA red algorithm and apriori algorithm. .Here this algorithm is applied to find noof occurrences for the gene dataset. After that T is replaced by U. Comparisons are made based on the Execution timeand memory efficiency in finding frequent patterns. The extracted rules and analyzed results are graphicallydemonstrated. The performance is analyzed based on the different no of instances and confidence in DNA sequencedata set.
关键词：Association Rule and Classification;Zero rule; fsa red and Apriori algorithm