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» Association Rules Discovery in Multivariate Time Series
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ICDM
2009
IEEE
161views Data Mining» more  ICDM 2009»
13 years 5 months ago
Understanding Climate Change Patterns with Multivariate Geovisualization
Climate change has been a challenging and urgent research problem for many related research fields. Climate change trends and patterns are complex, which may involve many factors a...
Hai Jin, Diansheng Guo
ICDM
2003
IEEE
240views Data Mining» more  ICDM 2003»
14 years 23 days ago
Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research
Given the recent explosion of interest in streaming data and online algorithms, clustering of time series subsequences, extracted via a sliding window, has received much attention...
Eamonn J. Keogh, Jessica Lin, Wagner Truppel
BMCBI
2007
215views more  BMCBI 2007»
13 years 7 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
ICDE
1998
IEEE
270views Database» more  ICDE 1998»
14 years 8 months ago
Cyclic Association Rules
We study the problem of discovering association rules that display regular cyclic variation over time. For example, if we compute association rules over monthly sales data, we may...
Banu Özden, Sridhar Ramaswamy, Abraham Silber...
DGO
2003
137views Education» more  DGO 2003»
13 years 8 months ago
Time-Series Data Mining in a Geospatial Decision Support
This paper presents an overview of the motivation for, and the use of time-series data mining in, a Geospatial Decision Support System (GDSS). Our approach is based on a combinati...
Dan Li, Sherri K. Harms, Steve Goddard, William J....