Sciweavers

33 search results - page 1 / 7
» FuncICA for Time Series Pattern Discovery.
Sort
View
SDM
2009
SIAM
130views Data Mining» more  SDM 2009»
14 years 1 months ago
FuncICA for Time Series Pattern Discovery.
We introduce FuncICA, a new independent component analysis method for pattern discovery in inherently functional data, such as time series data. FuncICA can be considered an analo...
Alexander Gray, Nishant Mehta
SYRCODIS
2007
99views Database» more  SYRCODIS 2007»
13 years 5 months ago
Association Rules Discovery in Multivariate Time Series
A problem of association rules discovery in a multivariate time series is considered in this paper. A method for finding interpretable association rules between frequent qualitati...
Elena Lutsiv
KDD
1998
ACM
141views Data Mining» more  KDD 1998»
13 years 8 months ago
Rule Discovery from Time Series
We consider the problem of nding rules relating patterns in a time series to other patterns in that series, or patterns in one series to patterns in another series. A simple examp...
Gautam Das, King-Ip Lin, Heikki Mannila, Gopal Ren...
FQAS
2004
Springer
146views Database» more  FQAS 2004»
13 years 8 months ago
Discovering Representative Models in Large Time Series Databases
The discovery of frequently occurring patterns in a time series could be important in several application contexts. As an example, the analysis of frequent patterns in biomedical ...
Simona E. Rombo, Giorgio Terracina
KDD
2010
ACM
199views Data Mining» more  KDD 2010»
13 years 8 months ago
Online discovery and maintenance of time series motifs
The detection of repeated subsequences, time series motifs, is a problem which has been shown to have great utility for several higher-level data mining algorithms, including clas...
Abdullah Mueen, Eamonn J. Keogh