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A Study on a Statistical Matching Method Using Clustering for Data Enrichment
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 Title & Authors
A Study on a Statistical Matching Method Using Clustering for Data Enrichment
Kim Soon Y.; Lee Ki H.; Chung Sung S.;
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Data fusion is defined as the process of combining data and information from different sources for the effectiveness of the usage of useful information contents. In this paper, we propose a data fusion algorithm using k-means clustering method for data enrichment to improve data quality in knowledge discovery in database(KDD) process. An empirical study was conducted to compare the proposed data fusion technique with the existing techniques and shows that the newly proposed clustering data fusion technique has low MSE in continuous fusion variables.
Clustering;Data enrichment;Data fusion Data Mining;k-Nearest Neighbor;Statistical matching;
 Cited by
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