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» Event Discovery in Time Series.
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SDM
2009
SIAM
127views Data Mining» more  SDM 2009»
14 years 1 months ago
Event Discovery in Time Series.
The discovery of events in time series can have important implications, such as identifying microlensing events in astronomical surveys, or changes in a patient’s electrocardiog...
Carla E. Brodley, Dan Preston, Pavlos Protopapas
JIIS
2000
119views more  JIIS 2000»
13 years 4 months ago
Knowledge Discovery from Series of Interval Events
Knowledge discovery from data sets can be extensively automated by using data mining software tools. Techniques for mining series of interval events, however, have not been conside...
Roy Villafane, Kien A. Hua, Duc A. Tran, Basab Mau...
PKDD
2004
Springer
113views Data Mining» more  PKDD 2004»
13 years 10 months ago
Discovery of Regulatory Connections in Microarray Data
Abstract. In this paper, we introduce a new approach for mining regulatory interactions between genes in microarray time series studies. A number of preprocessing steps transform t...
Michael Egmont-Petersen, Wim de Jonge, Arno Siebes
SDM
2009
SIAM
170views Data Mining» more  SDM 2009»
14 years 1 months ago
Optimal Distance Bounds on Time-Series Data.
Most data mining operations include an integral search component at their core. For example, the performance of similarity search or classification based on Nearest Neighbors is ...
Michail Vlachos, Philip S. Yu, Suleyman S. Kozat
TSDM
2000
151views Data Mining» more  TSDM 2000»
13 years 8 months ago
Identifying Temporal Patterns for Characterization and Prediction of Financial Time Series Events
The novel Time Series Data Mining (TSDM) framework is applied to analyzing financial time series. The TSDM framework adapts and innovates data mining concepts to analyzing time ser...
Richard J. Povinelli