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» Fast algorithms for time series mining
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GFKL
2004
Springer
154views Data Mining» more  GFKL 2004»
15 years 3 months ago
Discovering Temporal Knowledge in Multivariate Time Series
Abstract. An overview of the Time Series Knowledge Mining framework to discover knowledge in multivariate time series is given. A hierarchy of temporal patterns, which are not a pr...
Fabian Mörchen, Alfred Ultsch
SDM
2012
SIAM
285views Data Mining» more  SDM 2012»
13 years 14 days ago
A Novel Approximation to Dynamic Time Warping allows Anytime Clustering of Massive Time Series Datasets
Given the ubiquity of time series data, the data mining community has spent significant time investigating the best time series similarity measure to use for various tasks and dom...
Qiang Zhu 0002, Gustavo E. A. P. A. Batista, Thana...
93
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KDD
2000
ACM
115views Data Mining» more  KDD 2000»
15 years 1 months ago
Mining asynchronous periodic patterns in time series data
Periodicy detection in time series data is a challenging problem of great importance in many applications. Most previous work focused on mining synchronous periodic patterns and d...
Jiong Yang, Wei Wang 0010, Philip S. Yu
JIDM
2010
145views more  JIDM 2010»
14 years 8 months ago
Mining Relevant and Extreme Patterns on Climate Time Series with CLIPSMiner
One of the most important challenges for the researchers in the 21st Century is related to global heating and climate change that can have as consequence the intensification of na...
Luciana A. S. Romani, Ana Maria Heuminski de &Aacu...
KDD
1999
ACM
117views Data Mining» more  KDD 1999»
15 years 2 months ago
Identifying Distinctive Subsequences in Multivariate Time Series by Clustering
Most time series comparison algorithms attempt to discover what the members of a set of time series have in common. We investigate a di erent problem, determining what distinguish...
Tim Oates