Extracting Events from Spatial Time Series

被引：12
|
作者：
Andrienko, Gennady [1 ]
Andrienko, Natalia
Mladenov, Martin
Mock, Michael
Poelitz, Christian
机构：
[1] Fraunhofer IAIS, St Augustin, Germany
来源：
2010 14TH INTERNATIONAL CONFERENCE INFORMATION VISUALISATION (IV 2010) | 2010年
关键词：
visual analytics; event detection; time series;
D O I：
10.1109/IV.2010.17
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
C An important task in exploration of data about phenomena and processes that develop over time is detection of significant changes that happened to the studied phenomenon. Our research is focused on supporting detection of significant changes, called events, in multiple time series of numeric values. We developed a suite of visual analytics techniques that combines interactive visualizations on time-aware displays and maps with statistical event detection methods implemented in R. We demonstrate the utility of our approach using two large data sets.
引用
收藏
页码：48 / 53
页数：6
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