Research on the Key Issues of Big Data Quality Management, Evaluation, and Testing for Automotive Application Scenarios
This paper provides an in-depth analysis and discussion of the key issues of quality management, evaluation, and detection contained in big data for automotive application scenarios. A generalized big data quality management model and programming framework are proposed, and a series of data quality...
Saved in:
| Main Authors: | Yingzi Wang, Ce Yu, Jue Hou, Yongjia Zhang, Xiangyi Fang, Shuyue Wu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/9996011 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Retracted: Research on the Key Issues of Big Data Quality Management, Evaluation, and Testing for Automotive Application Scenarios
by: null Complexity
Published: (2024-01-01) -
Nondestructive Testing for Wheat Quality with Sensor Technology Based on Big Data
by: Yan-Ge Tian, et al.
Published: (2020-01-01) -
Big data in visual field testing for glaucoma
by: Alex T. Pham, et al.
Published: (2024-09-01) -
Research on the mechanism and key technologies for big data collection in education
by: Huanyou CHAI, et al.
Published: (2020-11-01) -
On the Issue of Automotive Paint Technology and Composition of Paints and Varnishes Used
by: L. I. Modinova
Published: (2019-04-01)