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» Association Rules Discovery in Multivariate Time Series
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ADVIS
2004
Springer
13 years 11 months ago
Incremental Association Rule Mining Using Materialized Data Mining Views
Data mining is an interactive and iterative process. Users issue series of similar queries until they receive satisfying results, yet currently available data mining systems do not...
Mikolaj Morzy, Tadeusz Morzy, Zbyszko Króli...
IDEAL
2009
Springer
14 years 22 days ago
Quantitative Association Rules Applied to Climatological Time Series Forecasting
M. Martínez-Ballesteros, Francisco Mart&iac...
ECML
1997
Springer
13 years 10 months ago
Parallel and Distributed Search for Structure in Multivariate Time Series
Abstract. E cient data mining algorithms are crucial fore ective knowledge discovery. We present the Multi-Stream Dependency Detection (msdd) data mining algorithm that performs a ...
Tim Oates, Matthew D. Schmill, Paul R. Cohen
ARTMED
2002
92views more  ARTMED 2002»
13 years 6 months ago
Predicting glaucomatous visual field deterioration through short multivariate time series modelling
In bio-medical domains there are many applications involving the modelling of multivariate time series (MTS) data. One area that has been largely overlooked so far is the particul...
Stephen Swift, Xiaohui Liu
NC
2006
132views Neural Networks» more  NC 2006»
13 years 6 months ago
Learning short multivariate time series models through evolutionary and sparse matrix computation
Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...
Stephen Swift, Joost N. Kok, Xiaohui Liu