Data quality system using reference dictionaries and edit distance algorithms

Radosław Karbarz; Jan Mulawka

doi:10.1117/12.2203553

11 September 2015 Data quality system using reference dictionaries and edit distance algorithms

Radosław Karbarz, Jan Mulawka

Proceedings Volume 9662, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2015; 96623A (2015) https://doi.org/10.1117/12.2203553
Event: XXXVI Symposium on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (Wilga 2015), 2015, Wilga, Poland

Abstract

The real art of management it is important to make smart decisions, what in most of the cases is not a trivial task. Those decisions may lead to determination of production level, funds allocation for investments etc. Most of the parameters in decision-making process such as: interest rate, goods value or exchange rate may change. It is well know that these parameters in the decision-making are based on the data contained in datamarts or data warehouse. However, if the information derived from the processed data sets is the basis for the most important management decisions, it is required that the data is accurate, complete and current. In order to achieve high quality data and to gain from them measurable business benefits, data quality system should be used. The article describes the approach to the problem, shows the algorithms in details and their usage. Finally the test results are provide. Test results show the best algorithms (in terms of quality and quantity) for different parameters and data distribution.

Citation Download Citation

Radosław Karbarz and Jan Mulawka "Data quality system using reference dictionaries and edit distance algorithms", Proc. SPIE 9662, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2015, 96623A (11 September 2015); https://doi.org/10.1117/12.2203553

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