2017
DOI: 10.1088/1742-6596/892/1/012009
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Replacing missing values using trustworthy data values from web data sources

Abstract: Abstract. In practice, collected data usually are incomplete and contains missing value.

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Cited by 2 publications
(3 citation statements)
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“…For calculating performance measures, the availability of data and it's quality is crucial (Panahy et al, 2013). However, many databases contain errors (Izham Jaya et al, 2017). Data quality problems go beyond accuracy, involving aspects such as completeness and accessibility (Pipino et al, 2002).…”
Section: Performance Measures and Data Qualitymentioning
confidence: 99%
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“…For calculating performance measures, the availability of data and it's quality is crucial (Panahy et al, 2013). However, many databases contain errors (Izham Jaya et al, 2017). Data quality problems go beyond accuracy, involving aspects such as completeness and accessibility (Pipino et al, 2002).…”
Section: Performance Measures and Data Qualitymentioning
confidence: 99%
“…Data quality can be considered as a measurement of how fit a data set is to serve the specific needs of an organization (Pipino et al, 2002;Panahy et al, 2013). In other words, it can be said that the data is of high quality if it is fit for its intended use (Izham Jaya et al, 2017). It has been emphasized that high quality data is required for reliable and trusted solutions (Pipino et al, 2002).…”
Section: Performance Measures and Data Qualitymentioning
confidence: 99%
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