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An incremental approach for data quality measurement with insufficient information

Antoon Bronselaer (UGent) , Joachim Nielandt (UGent) and Guy De Tré (UGent)
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Keywords
Data quality measurement, Uncertainty modelling, Insufficient information, Possibility theory

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Citation

Please use this url to cite or link to this publication:

Chicago
Bronselaer, Antoon, Joachim Nielandt, and Guy De Tré. 2018. “An Incremental Approach for Data Quality Measurement with Insufficient Information.” International Journal of Approximate Reasoning 96: 95–111.
APA
Bronselaer, Antoon, Nielandt, J., & De Tré, G. (2018). An incremental approach for data quality measurement with insufficient information. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 96, 95–111.
Vancouver
1.
Bronselaer A, Nielandt J, De Tré G. An incremental approach for data quality measurement with insufficient information. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING. Elsevier BV; 2018;96:95–111.
MLA
Bronselaer, Antoon, Joachim Nielandt, and Guy De Tré. “An Incremental Approach for Data Quality Measurement with Insufficient Information.” INTERNATIONAL JOURNAL OF APPROXIMATE REASONING 96 (2018): 95–111. Print.
@article{8557815,
  author       = {Bronselaer, Antoon and Nielandt, Joachim and De Tr{\'e}, Guy},
  issn         = {0888-613X},
  journal      = {INTERNATIONAL JOURNAL OF APPROXIMATE REASONING},
  keyword      = {Data quality measurement,Uncertainty modelling,Insufficient information,Possibility theory},
  language     = {eng},
  pages        = {95--111},
  publisher    = {Elsevier BV},
  title        = {An incremental approach for data quality measurement with insufficient information},
  url          = {http://dx.doi.org/10.1016/j.ijar.2018.03.007},
  volume       = {96},
  year         = {2018},
}

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