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Data Cleaning
Argyro Mavrogiorgou, Athanasios Kiourtis, George Manias, Dimosthenis Kyriazis



Each device, organization, or human, is affected by the effects of Big Data. Analysing these vast amounts of data can be considered of vital importance, surrounded by many challenges. To address a portion of these challenges, a Data Cleaning approach is being proposed, designed to filter the non-important data. The functionality of the Data Cleaning is evaluated on top of Global Terrorism Data, to furtherly create policies on how terrorism is affecting national healthcare.

Published in: Volume 281: Public Health and Informatics

Publisher: IOS Press

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