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@inproceedings{1495037, author = {Bangui, Hind and Ge, Mouzhi and Bühnová, Barbora}, address = {Crete, Greece}, booktitle = {Proceedings of the 4th International Conference on Internet of Things, Big Data and Security - Volume 1}, doi = {http://dx.doi.org/10.5220/0007717402860293}, keywords = {Big Data; 3D Data Quality; Data Cleaning; 3D Data Processing; Data Analytics; Protein Data Bank}, howpublished = {elektronická verze "online"}, language = {eng}, location = {Crete, Greece}, isbn = {978-989-758-369-8}, pages = {286-293}, publisher = {SciTePress}, title = {Quality Management for Big 3D Data Analytics: A Case Study of Protein Data Bank}, url = {http://dx.doi.org/10.5220/0007717402860293}, year = {2019} }
TY - JOUR ID - 1495037 AU - Bangui, Hind - Ge, Mouzhi - Bühnová, Barbora PY - 2019 TI - Quality Management for Big 3D Data Analytics: A Case Study of Protein Data Bank PB - SciTePress CY - Crete, Greece SN - 9789897583698 KW - Big Data KW - 3D Data Quality KW - Data Cleaning KW - 3D Data Processing KW - Data Analytics KW - Protein Data Bank UR - http://dx.doi.org/10.5220/0007717402860293 L2 - http://dx.doi.org/10.5220/0007717402860293 N2 - 3D data have been widely used to represent complex data objects in different domains such as virtual reality, 3D printing or biological data analytics. Due to complexity of 3D data, it is usually featured as big 3D data. One of the typical big 3D data is the protein data, which can be used to visualize the protein structure in a 3D style. However, the 3D data also bring various data quality problems, which may cause the delay, inaccurate analysis results, even fatal errors for the critical decision making. Therefore, this paper proposes a novel big 3D data process model with specific consideration of 3D data quality. In order to validate this model, we conduct a case study for cleaning and analyzing the protein data. Our case study includes a comprehensive taxonomy of data quality problems for the 3D protein data and demonstrates the utility of our proposed model. Furthermore, this work can guide the researchers and domain experts such as biologists to manage the quality of their 3D protein data. ER -
BANGUI, Hind, Mouzhi GE a Barbora BÜHNOVÁ. Quality Management for Big 3D Data Analytics: A Case Study of Protein Data Bank. Online. In \textit{Proceedings of the 4th International Conference on Internet of Things, Big Data and Security - Volume 1}. Crete, Greece: SciTePress, 2019, s.~286-293. ISBN~978-989-758-369-8. Dostupné z: https://dx.doi.org/10.5220/0007717402860293.
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