Title :
Cluster and calendar based visualization of time series data
Author :
Van Wijk, Jarke J. ; van Selow, Edward R.
Author_Institution :
Dept. of Math. & Comput. Sci., Eindhoven Univ. of Technol., Netherlands
Abstract :
A new method is presented to get an insight into univariate time series data. The problem addressed is how to identify patterns and trends on multiple time scales (days, weeks, seasons) simultaneously. The solution presented is to cluster similar daily data patterns, and to visualize the average patterns as graphs and the corresponding days on a calendar. This presentation provides a quick insight into both standard and exceptional patterns. Furthermore, it is well suited to interactive exploration. Two applications, numbers of employees present and energy consumption, are presented
Keywords :
data visualisation; graphs; pattern recognition; time series; calendar based visualization; cluster based visualization; employees; energy consumption; graphs; pattern clustering; univariate time series data; Calendars; Data analysis; Data mining; Data visualization; Energy consumption; Fourier transforms; Mathematics; Pattern analysis; Time measurement; Time series analysis;
Conference_Titel :
Information Visualization, 1999. (Info Vis '99) Proceedings. 1999 IEEE Symposium on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7695-0431-0
DOI :
10.1109/INFVIS.1999.801851