文章基本信息

标题：Deriving Association between Urban and Rural Students Programming Skills
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作者：L.Arockiam ; S.Charles ; I.Carol 等
期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2010
卷号：2
期号：3
页码：687-690
出版社：Engg Journals Publications
摘要：Data mining is used to extract the interesting patterns from databases or repositories. Frequent Pattern Tree is a technique for discovering association between the variables and finds the frequent patterns in the Students� dataset. The student�s data set contains the demographic details, practical mark and theory mark. The chore is to determine the programming skill similarity between rural and urban students. This paper focuses on two mining approaches to discover the knowledge from the students� dataset such as (a) Identifying Frequent Patterns (b) Finding similarity between urban and rural students programming skill.
关键词：FP-Tree; K-means Clustering; Support and Confidence