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» Streaming Pattern Discovery in Multiple Time-Series
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SDM
2010
SIAM
202views Data Mining» more  SDM 2010»
13 years 3 months ago
Multiresolution Motif Discovery in Time Series
Time series motif discovery is an important problem with applications in a variety of areas that range from telecommunications to medicine. Several algorithms have been proposed t...
Nuno Castro, Paulo J. Azevedo
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 5 months ago
Visually mining and monitoring massive time series
Moments before the launch of every space vehicle, engineering discipline specialists must make a critical go/no-go decision. The cost of a false positive, allowing a launch in spi...
Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jef...
ECML
1997
Springer
13 years 8 months ago
Parallel and Distributed Search for Structure in Multivariate Time Series
Abstract. E cient data mining algorithms are crucial fore ective knowledge discovery. We present the Multi-Stream Dependency Detection (msdd) data mining algorithm that performs a ...
Tim Oates, Matthew D. Schmill, Paul R. Cohen
CIKM
2006
Springer
13 years 6 months ago
Efficient range-constrained similarity search on wavelet synopses over multiple streams
Due to the resource limitation in the data stream environment, it has been reported that answering user queries according to the wavelet synopsis of a stream is an essential abili...
Hao-Ping Hung, Ming-Syan Chen
ICDM
2005
IEEE
166views Data Mining» more  ICDM 2005»
13 years 10 months ago
Sequential Pattern Mining in Multiple Streams
In this paper, we deal with mining sequential patterns in multiple data streams. Building on a state-of-the-art sequential pattern mining algorithm PrefixSpan for mining transact...
Gong Chen, Xindong Wu, Xingquan Zhu