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The purpose of the paper is to check the impact of data clustering in the process of predicting demand. We checked different ways of adding information about similar datasets to the forecasting process and we grouped the measurements in multiple ways. The experiments were executed on 50 time series describing fuels sales (gasoline and diesel sales) on 25 petrol stations from an international company...
Both transactional and analytical systems store data, which being accessible to unauthorized persons may result in privacy violation. This issue has become especially important nowadays, due to more restrictive legislation concerning personal data protection and preserving data privacy. We introduce relation decomposition as a method to preserve the data confidentiality in distributed spatial data...
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