Vis4DD: A visualization system that supports Data Quality Visual Assessment
| Autor: | Josko, João Marcelo Borovina, Ferreira, João Eduardo |
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| Rok vydání: | 2018 |
| Předmět: | |
| Zdroj: | 32th Brazilian Symposium on Databases - Demo and Applications (2017) pp. 46-51 |
| Druh dokumentu: | Working Paper |
| Popis: | Data quality assessment process is essential to ensure reliable analytical outcomes. This process depends on human supervision-driven approaches since it is impossible to determine a defect based only on data. Visualization systems belong to a class of supervised tools that can make data defect pattern visible. However, their considerable design knowledge encodings and imple- mentations provide little support design to data quality visual assessment. To cover this gap, this work reports the design approach of V is4DD visualization system based on patterns of data defects structures and assessment tasks. An exploratory case study used this web-based system to explore which and how visual-interactive properties facilitate visual detection of data defect. Comment: 6 pages, 3 figures, Proceedings of the satellite events on 32nd. Brazilian Symposium on Databases |
| Databáze: | arXiv |
| Externí odkaz: |
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