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Saliency Score-Based Visualization for Data Quality Evaluation
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 Title & Authors
Saliency Score-Based Visualization for Data Quality Evaluation
Kim, Yong Ki; Lee, Keon Myung;
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Data analysts explore collections of data to search for valuable information using various techniques and tricks. Garbage in, garbage out is a well-recognized idiom that emphasizes the importance of the quality of data in data analysis. It is therefore crucial to validate the data quality in the early stage of data analysis, and an effective method of evaluating the quality of data is hence required. In this paper, a method to visually characterize the quality of data using the notion of a saliency score is introduced. The saliency score is a measure comprising five indexes that captures certain aspects of data quality. Some experiment results are presented to show the applicability of proposed method.
Data analysis;Visualization;Data quality analysis;Data quality metrics;
 Cited by
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