Review article

IMPLEMENTING MULTICAST DATA LINKAGE WITH ONE CLASS CLUSTERING TREE (OCCT)

S. Singaravelan ; Department of Computer Science and Engineering, P.S.R Engineering College, Sivakasi, India
D. Murugan ; Manonmaniam Sundaranar University,Tirunelveli, India
R. Mayakrishnan ; Department of Computer Science and Engineering, P.S.R Engineering College, Sivakasi, India

Abstract

Record linkage is traditionally performed among the entities of same type. It can be done based on entities that may or may not share a common identifier. In this paper we propose a new linkage method that performs linkage between matching entities of different data types as well. The proposed technique is based on one-class clustering tree that characterizes the entities which are to be linked. The tree is built in such a way that it is easy to understand and can be transformed into association rules. The data is split using four splitting criteria. The proposed system results better in performance of precision and recall.

Keywords

record linkage; clustering; OCCT

Hrčak ID:

161902

URI

https://hrcak.srce.hr/161902

Publication date:

15.7.2016.

Article data in other languages: croatian

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