DocumentCode :
2770318
Title :
A Visualization and Level-of-Detail Control Technique for Large Scale Time Series Data
Author :
Uchida, Yumiko ; Itoh, Takayuki
Author_Institution :
Ochanomizu Univ., Tokyo, Japan
fYear :
2009
fDate :
15-17 July 2009
Firstpage :
80
Lastpage :
85
Abstract :
We have various interesting time series data in our daily life, such as weather data (e.g., temperature and air pressure)and stock prices. Polyline chart is one of the most common ways to represent such time series data. We often draw multiple polylines in one space to compare the time variation of multiple values. However, it is often difficult to read the values if the number of polylines gets larger. This paper presents a technique for visualization and level-of-detail control of large number of time series data. The technique generates clusters of time series values,and selects representative values for each cluster, as a preprocessing. The technique then draws the representative values as polylines. It also provides a user interface so that users can interactively select interesting representatives,and explore the time series values which belong to the clusters of the representatives.
Keywords :
control engineering computing; data visualisation; time series; user interfaces; very large databases; air pressure; data visualization; large scale time series data; level-of-detail control technique; multiple polylines; polyline chart; preprocessing; stock prices; temperature pressure; user interface; weather data; Computer graphics; Data analysis; Data visualization; Displays; Filters; Guidelines; Large-scale systems; Pressure control; Temperature control; User interfaces;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Visualisation, 2009 13th International Conference
Conference_Location :
Barcelona
ISSN :
1550-6037
Print_ISBN :
978-0-7695-3733-7
Type :
conf
DOI :
10.1109/IV.2009.33
Filename :
5190866
Link To Document :
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