A possibilistic treatment of data quality measurement
- Author
- Antoon Bronselaer (UGent) and Guy De Tré (UGent)
- Organization
- Abstract
- The ever growing capabilities of data storage systems have created the need to assess the quality of data in an efficient manner. In this paper, we consider a framework of data quality measurement that relies on basic predicates formulated on the data. It is then motivated that in some cases, the evaluation of predicates is hindered due to a lack of information. As a result, the truth value of a predicate can not be determined with complete certainty. In this paper, it is first shown how such uncertainty about the evaluation of predicates can be modelled. Such uncertainty can then be propagated throughout the measurement process. This establishes a possibilistic measurement of data quality.
- Keywords
- Data quality measurement, Uncertainty modelling, Possibility theory
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-7898200
- MLA
- Bronselaer, Antoon, and Guy De Tré. “A Possibilistic Treatment of Data Quality Measurement.” INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS, IPMU 2016, PT II, edited by Joao Paulo Carvalho et al., vol. 611, no. 2, Springer, 2016, pp. 367–78.
- APA
- Bronselaer, A., & De Tré, G. (2016). A possibilistic treatment of data quality measurement. In J. P. Carvalho, M.-J. Lesot, U. Kaymak, S. Vieira, B. Bouchon-Meunier, & R. R. Yager (Eds.), INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS, IPMU 2016, PT II (Vol. 611, pp. 367–378). Switzerland: Springer.
- Chicago author-date
- Bronselaer, Antoon, and Guy De Tré. 2016. “A Possibilistic Treatment of Data Quality Measurement.” In INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS, IPMU 2016, PT II, edited by Joao Paulo Carvalho, Marie-Jeanne Lesot, Uzay Kaymak, Susana Vieira, Bernadette Bouchon-Meunier, and Ronald R Yager, 611:367–78. Switzerland: Springer.
- Chicago author-date (all authors)
- Bronselaer, Antoon, and Guy De Tré. 2016. “A Possibilistic Treatment of Data Quality Measurement.” In INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS, IPMU 2016, PT II, ed by. Joao Paulo Carvalho, Marie-Jeanne Lesot, Uzay Kaymak, Susana Vieira, Bernadette Bouchon-Meunier, and Ronald R Yager, 611:367–378. Switzerland: Springer.
- Vancouver
- 1.Bronselaer A, De Tré G. A possibilistic treatment of data quality measurement. In: Carvalho JP, Lesot M-J, Kaymak U, Vieira S, Bouchon-Meunier B, Yager RR, editors. INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS, IPMU 2016, PT II. Switzerland: Springer; 2016. p. 367–78.
- IEEE
- [1]A. Bronselaer and G. De Tré, “A possibilistic treatment of data quality measurement,” in INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS, IPMU 2016, PT II, Eindhoven, The Netherlands, 2016, vol. 611, no. 2, pp. 367–378.
@inproceedings{7898200,
abstract = {{The ever growing capabilities of data storage systems have created the need to assess the quality of data in an efficient manner. In this paper, we consider a framework of data quality measurement that relies on basic predicates formulated on the data. It is then motivated that in some cases, the evaluation of predicates is hindered due to a lack of information. As a result, the truth value of a predicate can not be determined with complete certainty. In this paper, it is first shown how such uncertainty about the evaluation of predicates can be modelled. Such uncertainty can then be propagated throughout the measurement process. This establishes a possibilistic measurement of data quality.}},
author = {{Bronselaer, Antoon and De Tré, Guy}},
booktitle = {{INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS, IPMU 2016, PT II}},
editor = {{Carvalho, Joao Paulo and Lesot, Marie-Jeanne and Kaymak, Uzay and Vieira, Susana and Bouchon-Meunier, Bernadette and Yager, Ronald R}},
isbn = {{978-3-319-40580-3}},
issn = {{1865-0929}},
keywords = {{Data quality measurement,Uncertainty modelling,Possibility theory}},
language = {{eng}},
location = {{Eindhoven, The Netherlands}},
number = {{2}},
pages = {{367--378}},
publisher = {{Springer}},
title = {{A possibilistic treatment of data quality measurement}},
volume = {{611}},
year = {{2016}},
}