Quality Management for Big 3D Data Analytics: A Case Study of
Protein Data Bank

D 2019

Quality Management for Big 3D Data Analytics: A Case Study of Protein Data Bank

BANGUI, Hind, Mouzhi GE and Barbora BÜHNOVÁ

Basic information

Original name

Quality Management for Big 3D Data Analytics: A Case Study of Protein Data Bank

Authors

BANGUI, Hind (504 Morocco, belonging to the institution), Mouzhi GE (156 China, guarantor, belonging to the institution) and Barbora BÜHNOVÁ (203 Czech Republic, belonging to the institution)

Edition

Crete, Greece, Proceedings of the 4th International Conference on Internet of Things, Big Data and Security - Volume 1, p. 286-293, 8 pp. 2019

Publisher

SciTePress

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10200 1.2 Computer and information sciences

Country of publisher

Portugal

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

URL

RIV identification code

RIV/00216224:14610/19:00109111

Organization unit

Institute of Computer Science

ISBN

978-989-758-369-8

DOI

http://dx.doi.org/10.5220/0007717402860293

UT WoS

000570344500029

Keywords in English

Big Data; 3D Data Quality; Data Cleaning; 3D Data Processing; Data Analytics; Protein Data Bank

Abstract

V originále

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.

Links

EF16_013/0001802, research and development project

Name: CERIT Scientific Cloud

Citovat

BANGUI, Hind, Mouzhi GE and Barbora BÜHNOVÁ. Quality Management for Big 3D Data Analytics: A Case Study of Protein Data Bank. Online. In Proceedings of the 4th International Conference on Internet of Things, Big Data and Security - Volume 1. Crete, Greece: SciTePress, 2019, p. 286-293. ISBN 978-989-758-369-8. Available from: https://dx.doi.org/10.5220/0007717402860293.

@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 and 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, p.~286-293. ISBN~978-989-758-369-8. Available from: https://dx.doi.org/10.5220/0007717402860293.

Detailed Information on Publication Record