287 search results - page 13 / 58 » Algorithms for time series knowledge mining |
142
Voted
ICDM
2008
IEEE
15 years 10 months ago
2008
IEEE
Event detection is a critical task in sensor networks, especially for environmental monitoring applications. Traditional solutions to event detection are based on analyzing one-sh...
125
Voted
KDD
2004
ACM
15 years 9 months ago
2004
ACM
Clustering time series is a problem that has applications in a wide variety of fields, and has recently attracted a large amount of research. In this paper we focus on clustering...
135
Voted
SDM
2007
SIAM
15 years 5 months ago
2007
SIAM
Time series are difficult to monitor, summarize and predict. Segmentation organizes time series into few intervals having uniform characteristics (flatness, linearity, modality,...
159
Voted
SDM
2010
SIAM
15 years 2 months ago
2010
SIAM
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...
122
Voted
PKDD
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. This article presents a method for training Dynamic Factor Graphs (DFG) with continuous latent state variables. A DFG includes factors modeling joint probabilities betwee...