Time Series as a Point - A Novel Approach for Time Series Cluster Visualization

: Temporal data mining is concerned with the analysis of temporal data and finding temporal patterns, regularities, trends, clusters in sets of temporal data. Wavelet transform provides a means to analyze a temporal data at multiple resolutions. In this paper we propose a methodology for representing a time series as histograms at different resolutions using wavelet transform. Then we fit a regression line on the cumulative histogram and express the line as a point in the Hough space. Thus we are able to express an entire time series as a single point. So we propose a method for visualizing the time series clusters in a scatter space as well as multiple resolutions. The technique is illustrated with a sample set consisting of 24 short segment time series.

• Type: Conference
• Year: 2006
• Where: DMIN
• Authors: R. Pradeep Kumar, P. Nagabhushan
• Keywords: DMIN 2006, DMIN 2007, Temporal Data, Time Series, Wavelet Transform