337 search results - page 23 / 68 » Mining Interval Time Series |
SDM
2010
SIAM
13 years 11 months ago
2010
SIAM
We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
SSDBM
2006
IEEE
14 years 3 months ago
2006
IEEE
The issue of data mining in time series databases is of utmost importance for many practical applications and has attracted a lot of research in the past years. In this paper, we ...
PKDD
2009
Springer
14 years 4 months ago
2009
Springer
Abstract. We present a method for applying machine learning algorithms to the automatic classification of astronomy star surveys using time series of star brightness. Currently su...
ICDM
2008
IEEE
14 years 4 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...
ICDM
2002
IEEE
14 years 2 months ago
2002
IEEE
Segmentation is a popular technique for discovering structure in time series data. We address the largely open problem of estimating the number of segments that can be reliably di...