A Method for Entity Resolution in High Dimensional Data Using Ensemble Classifiers

A Method for Entity Resolution in High Dimensional Data Using Ensemble Classifiers

In order to improve utilization rate of high dimensional data features, an ensemble learning method based on feature selection for entity resolution is developed. Entity resolution is regarded as a binary classification problem, an optimization model is designed to maximize each classifier’s classif...

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Bibliographic Details
Main Authors:	Liu Yi, Diao Xing-chun, Cao Jian-jun, Zhou Xing, Shang Yu-ling
Format:	Article
Language:	English
Published:	Hindawi Limited 2017-01-01
Series:	Mathematical Problems in Engineering
Online Access:	http://dx.doi.org/10.1155/2017/4953280

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