50 search results - page 3 / 10 » A Recent-Biased Dimension Reduction Technique for Time Serie... |
SIGMOD
2001
ACM
14 years 6 months ago
2001
ACM
Similarity search in large time series databases has attracted much research interest recently. It is a difficult problem because of the typically high dimensionality of the data....
DATAMINE
2006
13 years 6 months ago
2006
With the growing importance of time series clustering research, particularly for similarity searches amongst long time series such as those arising in medicine or finance, it is cr...
AIA
2006
13 years 7 months ago
2006
Time series data is usually stored and processed in the form of discrete trajectories of multidimensional measurement points. In order to compare the measurements of a query traje...
ISNN
2011
Springer
12 years 9 months ago
2011
Springer
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
ICDM
2006
IEEE
14 years 6 days ago
2006
IEEE
Several spatio-temporal data collected in many applications, such as fMRI data in medical applications, can be represented as a Multivariate Time Series (MTS) matrix with m rows (...