基于多维时间序列数据可视化分析的时间模式分析与源检测

2017 IEEE Conference on Visual Analytics Science and Technology (VAST) Pub Date : 2017-10-01 DOI:10.1109/VAST.2017.8585548

Ruike Jiang, Wei Huang, Nan Ma, Fan Hong, Ying Zhao, Xiaoru Yuan

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引用次数: 0

摘要

在VAST挑战赛2017中，我们开发了一个视觉探测系统，用于检测传感器异常、化学品分布模式和每次化学品释放的责任工厂。在这篇报告中，我们详细讨论了我们的数据预处理、设计、实现以及我们是如何找到答案的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Temporal Pattern Analysis and Source Detection through Visual Analysis on Multi-Dimensional Time Series Data

In VAST Challenge 2017, we developed a visual exploration system for detection of sensor anomaly, pattern of chemical distribution and responsible factory for each release of chemical. In this report, we discuss details of our data preprocessing, design, implementation and how we found our answer.

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来源期刊

2017 IEEE Conference on Visual Analytics Science and Technology (VAST)

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