doi: 10.7763/IJCTE.2010.V2.125
Data Quality Measurement using Data Mining
Saeed Farzi1
,
Ahmad Baraani Dastjerdi2,*
- 1Department of Computer Engineering, Islamic Azad University – branch of Kermanshah, Iran.
- 2Computer Engineering Department, University of Isfahan, Iran.
Abstract
Regarding to use of correct information in many applications, data quality measurement is very important. Nowadays, many statistical methods for measuring the quality of data have been proposed. The major problem of statistical methods is to lack of using data nature to measure the quality. Data mining is another method for measuring the quality of data. Data mining algorithms extract some knowledge. The extracted knowledge is used to measure the quality of data. In this paper, we introduce a new method, which uses data mining to extract some knowledge from database, and then we use it to measure the quality of input transaction.
Keywords
- data quality
- data mining
- input transactions
- statistical method
How to Cite
Saeed Farzi and Ahmad Baraani Dastjerdi, "Data Quality Measurement using Data Mining," International Journal of Computer Theory and Engineering, vol. 2, no. 1, pp. 115-118, 2010. https://doi.org/10.7763/IJCTE.2010.V2.125
Copyright & License
Copyright © 2010 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).