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» Association Rules Discovery in Multivariate Time Series
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SYRCODIS
2007
99views Database» more  SYRCODIS 2007»
13 years 6 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 9 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...
GFKL
2004
Springer
154views Data Mining» more  GFKL 2004»
13 years 10 months ago
Discovering Temporal Knowledge in Multivariate Time Series
Abstract. An overview of the Time Series Knowledge Mining framework to discover knowledge in multivariate time series is given. A hierarchy of temporal patterns, which are not a pr...
Fabian Mörchen, Alfred Ultsch
IEAAIE
2005
Springer
13 years 10 months ago
Inferring Definite-Clause Grammars to Express Multivariate Time Series
In application domains such as medicine, where a large amount of data is gathered, a medical diagnosis and a better understanding of the underlying generating process is an aim. Re...
Gabriela Guimarães, Luís Moniz Perei...
PKDD
2001
Springer
185views Data Mining» more  PKDD 2001»
13 years 9 months ago
Temporal Rule Discovery for Time-Series Satellite Images and Integration with RDB
Feature extraction and knowledge discovery from a large amount of image data such as remote sensing images have become highly required recent years. In this study, a framework for ...
Rie Honda, Osamu Konishi