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K-Means Clustering Algorithm based on Entity Resolution

K-Means Clustering Algorithm based on Entity Resolution

Authors :
B. Raghu Ram
B. Vinay Kumar
B. Hanmanthu
Source :
International Journal of Computer Applications. 108:41-44
Publication Year :
2014
Publisher :
Foundation of Computer Science, 2014.

Abstract

resolution is the problem of recognizing which entry in database refers to same cluster.in this we have to run the ER in order to reduce the running time and to obtain good results. This paper investigates how we can reduce the running of ER with minimum amount of work using k-means clustering algorithm. In this, clustering can be done according to the matching of entries. We introduce a concept of technique called as k-means clustering to maximize the matching of entries identified using a limited amount of work. We illustrate the potential gains of this entity resolution approach using k-means.

Details

ISSN :
09758887
Volume :
108
Database :
OpenAIRE
Journal :
International Journal of Computer Applications
Accession number :
edsair.doi...........de282908c27c28c3d76d79196f68c262
Full Text :
https://doi.org/10.5120/18919-0254