文章基本信息

标题：Performance Analysis of K-Mean Clustering on Normalized and Un-Normalized Information in Data Mining
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作者：Richa Rani ; Manju Bala
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：2015
卷号：3
期号：8
DOI：10.15680/IJIRCCE.2015. 0308059
出版社：S&S Publications
摘要：Data mining is used for extract the useful information and Clustering is the concept used to groupswhich can be creating by identifying similar kind of data and this can done by identify one or more attributes or classes.There are different types of clustering techniques such as K-Means clustering etc. The analysis has been done using theK-Means Clustering technique and by normalizes the data using data mining normalization techniques. Furthermore,the research work is about the study of data such as Normalized data and Un-normalized Data and analyzes the Datausing Clustering Algorithm such as K-Means Clustering algorithm. The data mining means extract the usefulinformation from the large dataset and clusters the records. The need for data mining is that there have been too muchdata, too much technology but don’t have useful information. Data clustering is a process of putting similar data intogroups.
关键词：Data Mining.