Sciweavers

57 search results - page 2 / 12
» On Clustering Multimedia Time Series Data Using K-Means and ...
Sort
View
KDD
1994
ACM
407views Data Mining» more  KDD 1994»
13 years 9 months ago
Using Dynamic Time Warping to Find Patterns in Time Series
Donald J. Berndt, James Clifford
IJCNN
2008
IEEE
13 years 12 months ago
Support vector machines and dynamic time warping for time series
— Effective use of support vector machines (SVMs) in classification necessitates the appropriate choice of a kernel. Designing problem specific kernels involves the definition...
Steinn Gudmundsson, Thomas Philip Runarsson, Sven ...
SDM
2004
SIAM
214views Data Mining» more  SDM 2004»
13 years 6 months ago
Making Time-Series Classification More Accurate Using Learned Constraints
It has long been known that Dynamic Time Warping (DTW) is superior to Euclidean distance for classification and clustering of time series. However, until lately, most research has...
Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh
ICDM
2008
IEEE
230views Data Mining» more  ICDM 2008»
13 years 12 months ago
Clustering Distributed Time Series in Sensor Networks
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...
Jie Yin, Mohamed Medhat Gaber
SIGMOD
2008
ACM
236views Database» more  SIGMOD 2008»
14 years 5 months ago
Approximate embedding-based subsequence matching of time series
A method for approximate subsequence matching is introduced, that significantly improves the efficiency of subsequence matching in large time series data sets under the dynamic ti...
Vassilis Athitsos, Panagiotis Papapetrou, Michalis...