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Adjustable Data Cleaning Towards Extracting Statistical Information
Argyro Mavrogiorgou, Athanasios Kiourtis, George Manias, Dimosthenis Kyriazis
1013 - 1014
10.3233/SHTI210332
Research Article
Studies in Health Technology and Informatics
Volume 281: Public Health and Informatics
Abstract

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.

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