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：1
出版社：S&S Publications
摘要：Data mining is an excellent domain to work where new concepts are implemented. Theknowledge extraction and knowledge discovery is a major task of engineering organization. Therefore a newfield of study, Knowledge Discovery in Database (KDD), and data mining is explored. And many applicationsare been developed. In this paper a discussion about field of data mining is also placed. Document clustering is afield where we are implementing a concept of grouping of similar objects. Some groups are formed and thedocuments are placed under those groups. The main motive of this paper is comparison of various algorithmsand giving the best result of the clustering. A new algorithm has been proposed in this paper is ICPI (Improvedcorrelation preserving indexing) which is performed by the correlation similarity measure space. ICPI cansuccessfully find out the essential structures rooted in high dimensional document space. The proposed work isto provide an efficient text mining algorithm to perform mining in the document.ICPI can successfully find outessential structures rooted in high dimensional document space.
