One-to-Many Data Linkage By One-Class Clustering Tree

Abstract

Data linkage is the task of identifying different entries that refer to the same entity across different data sources. The goal of the data linkage task is joining data sets that do not share a common identifier. Data linkage is divided into two types: one-to-one and one-to-many. In one-to-one data linkage, the goal is to associate an entity from one data set with a single matching entity in another data set. In one-to-many data linkage, the goal is to associate an entity from the first data set with a group of matching entities from the other data set. We implement a new one-to-many data linkage method that links between entities of different natures. In addition, while data linkage is usually performed among entities of the same type, the data linkage technique can match entities of different types. The data linkage method is based on a one-class clustering tree (OCCT) that characterizes the entities that should be linked together.

Authors and Affiliations

P. Aruna kumari, Dr. Srinivas Prasad

Keywords

Related Articles

Analysis of Four Stage Encryption

Four Stage Encryption generates the output alphabet from a given input alphabet. The size of the output alphabet depends upon the key K0. Unless this key is known, it is difficult to guess the size of the output alph...

Dg: Modeling Network Behavior for Static and Dynamic Websites

Internet services and applications have become an inextricable part of daily life, enabling communication and the management of personal information from anywhere. To accommodate this increase in application and data...

Multiple View Point on Cluster Analysis

The clustering methods have to assume some cluster relationship among the data objects that they are applies on. Similarity between a pair of objects can be defines either explicitly or implicitly. In this paper we i...

A NOVEL APPROACH FOR DATA PUBLISHING IN MINING

In recent years, advances in technology have lead to an increase in the capability to store and record personal data about consumers and individuals. This has guide to concerns that the personal data may be misused for...

Design Of Ternary Arithmetic Circuits Using QDGFET

This paper presents a novel design of ternary arithmetic circuits like half-adder and multiplier using quantum dot field effect transistors. Due to the change in threshold voltage over the range QDGFETs produce one i...

Download PDF file
  • EP ID EP28238
  • DOI -
  • Views 311
  • Downloads 2

How To Cite

P. Aruna kumari, Dr. Srinivas Prasad (2015). One-to-Many Data Linkage By One-Class Clustering Tree. International Journal of Research in Computer and Communication Technology, 4(8), -. https://europub.co.uk/articles/-A-28238