|
|
October 2017 Issue Vol.7 No.10
Dis-Similarity Calculation Using Clustering
Mechanism
https://ia601506.us.archive.org/5/items/vol7no10/vol7no10.pdf
A.Sumathi
Part–Time Ph.D (Category – B), R&D Centre, Bharathiar University, Coimbatore &
Assistant Professor, Department of Computer Science,
Navarasam Arts and Science College for Women, Erode, Tamil Nadu, India.
Ph.D., Research Scholar, Dept of Computer Science,Erode Arts And Science College (Autonomous), Erode,Tamil Nadu, India
A.Venkatesh Kumar
Technology Specialist, Cognizant Technology Solution, Coimbatore, Tamil Nadu, India.
Abstract:
This paper delineates evolution of Dis-Similarity
percentage calculation using grouping technique. None
of the existing algorithm produces the dis-similarity
percentage between pair of string. There are two types of
evolution model for duplicate detection i.e., duplicates
detection without grouping and duplicate detection with
grouping. This re-search proved that the duplicate
detection with grouping is more powerful and
performance wise also it is much better than duplicate
detection without grouping. This research introduced
new technique which includes merits and features of
clustering algorithm and de-duplication algorithm to
improve the performance and accuracy of the new
technique.
Keywords:Duplicate Detection, De-Duplication,Dis-Similarity, Grouping, Clustering.
