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.
Index Terms—data quality, data mining, input transactions, statistical method.
Saeed Farzi is with Department of Computer Engineering, Islamic Azad University – branch of Kermanshah, Iran (corresponding author to provide phone: +988318247902; fax: +988317243065; e-mail: saeedfarzi@ gmail.com).
Ahmad Baraani Dastjerdi is with the Computer Engineering Department, University of Isfahan, Iran. (e-mail: ahmadb@eng.ui.ac.ir).
Cite: Saeed Farzi, Ahmad Baraani Dastjerdi, "Data Quality Measurement using Data Mining," International Journal of Computer Theory and Engineering vol. 2, no. 1, pp. 115-118, 2010.
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