Survey of Analytical Methods for Big Data of Quality Inspection

2018 2nd annual International Conference on Cloud Technology and Communication Engineering

计算机科学;无线电电子学

Xu, Yingcheng^1 ; Jiang, Wei^2 ; Ning, Xiuli^1 ; Liu, Bisong^1 ; Li, Ya^1

Quality Management Branch, National Institute of Standardization, Beijing

100191, China^1

School of Computer and Information, Anqing Normal University, Anqing

246011, China^2

关键词: Analytical method;    Existence problems;    Quality inspection;    Semantic analysis;    Semi structured data;    Technology-based;    Unstructured data;    Visualization analysis;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/466/1/012030/pdf
DOI  :  10.1088/1757-899X/466/1/012030

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Big data of quality inspection is consist of structured data, semi-structured data and unstructured data. It brings great challenge for data analysis as the features of huge volume, various types, high timeliness and low value density. This paper introduced the research status of semantic analysis technology based on depth learning, migration learning algorithm based on depth neural network, reinforcement learning algorithm based on depth neural network and visualization analysis from the characteristics of quality inspection data. The existence problems are analyzed and the research direction is looking forward of the on data analysis in this paper.