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Proposing an Improved Semantic and Syntactic Data Quality Mining Method using Clustering and Fuzzy Techniques
by
Hamid Reza Khosravani
| International Journal of Applied Information Systems |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 3 - Number 3 |
| Year of Publication: 2012 |
| Authors: Hamid Reza Khosravani |
http:/ijais12-450475
|
Hamid Reza Khosravani . Proposing an Improved Semantic and Syntactic Data Quality Mining Method using Clustering and Fuzzy Techniques. International Journal of Applied Information Systems. 3, 3 ( July 2012), 8-12. DOI=http:/ijais12-450475
@article{
http:/ijais12-450475,
author = {
Hamid Reza Khosravani
},
title = { Proposing an Improved Semantic and Syntactic Data Quality Mining Method using Clustering and Fuzzy Techniques },
journal = {
International Journal of Applied Information Systems
},
issue_date = { July 2012 },
volume = { 3 },
number = { 3 },
month = { July },
year = { 2012 },
issn = { 2249-0868 },
pages = {
8-12
},
numpages = {9},
url = {
https://www.ijais.org/archives/volume3/number3/210-0475/
},
doi = { http:/ijais12-450475 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T10:45:32.394935+05:30
%A Hamid Reza Khosravani
%T Proposing an Improved Semantic and Syntactic Data Quality Mining Method using Clustering and Fuzzy Techniques
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 3
%N 3
%P 8-12
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Data quality plays an important role in knowledge discovering process in databases. Researchers have proposed two different approaches for data quality evaluation so far. The first approach is based on statistical methods while the second one uses data mining techniques which caused further improvement in data quality evaluation results through relying on knowledge extracting. Our proposed method in data quality evaluation follows the second approach and focuses on accuracy dimension of data quality evaluation including both syntactic and semantic aspects.
References
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Index Terms
Computer Science
Information Sciences
Keywords