Visual Analysis on Macro Quality Data

被引：1

作者：

Wu, Gang ^{[1
,2
]}

Zhao, Chao ^{[1
,2
]}

Ding, Wenxing ^{[1
,2
]}

Zhang, Fan ^{[1
,2
]}

Zhao, Jing ^{[1
,2
]}

Wang, Haitao ^{[1
,2
]}

机构：

[1] China Natl Inst Standardizat, 4 Zhichun Rd, Beijing, Peoples R China

[2] AQSIQ Key Lab Human Factors & Ergon CNIS, Beijing, Peoples R China

来源：

ADVANCES IN ARTIFICIAL INTELLIGENCE, SOFTWARE AND SYSTEMS ENGINEERING | 2019年 / 787卷

基金：

国家重点研发计划;

关键词：

Data visualization; Macro quality data; Data analysis; Time series visualization;

D O I：

10.1007/978-3-319-94229-2_10

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Quality inspection and quarantine processing is an important process with extensive business impacts. Data visualization methods failed to fully combine standards and certifications or accreditation. While inspection, quarantine and other quality related measures are hard to analyze due to the multi-factor dimension and therefore it is difficult to reflect the macro quality status. Thus, in order to integrate quality data from quality supervisory inspection and quarantine departments, this paper propose three visualization methods to analyze quality data, such as tree models and histogram visualization, map and histogram visualization, the models implement quality visualization system based on the methods above to realize the comprehensive analysis of macro quality data.

引用

页码：94 / 99

页数：6

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