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» Diagnosing Similarity of Oscillation Trends in Time Series
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INFOVIS
1999
IEEE
13 years 10 months ago
Cluster and Calendar Based Visualization of Time Series Data
A new method is presented to get insight into univariate time series data. The problem addressed here is how to identify patterns and trends on multiple time scales (days, weeks, ...
Jarke J. van Wijk, Edward R. van Selow
ICDM
2006
IEEE
193views Data Mining» more  ICDM 2006»
13 years 12 months ago
Local Correlation Tracking in Time Series
We address the problem of capturing and tracking local correlations among time evolving time series. Our approach is based on comparing the local auto-covariance matrices (via the...
Spiros Papadimitriou, Jimeng Sun, Philip S. Yu
SSDBM
2000
IEEE
128views Database» more  SSDBM 2000»
13 years 10 months ago
Supporting Content-Based Searches on Time Series via Approximation
Fast retrieval of time series in terms of their contents is important in many application domains. This paper studies database techniques supporting fast searches for time series ...
Changzhou Wang, Xiaoyang Sean Wang
DATAMINE
2006
224views more  DATAMINE 2006»
13 years 5 months ago
Characteristic-Based Clustering for Time Series Data
With the growing importance of time series clustering research, particularly for similarity searches amongst long time series such as those arising in medicine or finance, it is cr...
Xiaozhe Wang, Kate A. Smith, Rob J. Hyndman
ICDM
2007
IEEE
197views Data Mining» more  ICDM 2007»
14 years 4 days ago
Trend Motif: A Graph Mining Approach for Analysis of Dynamic Complex Networks
Complex networks have been used successfully in scientific disciplines ranging from sociology to microbiology to describe systems of interacting units. Until recently, studies of...
Ruoming Jin, Scott McCallen, Eivind Almaas