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» Discovering Temporal Knowledge in Multivariate Time Series
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GCB
2009
Springer
141views Biometrics» more  GCB 2009»
14 years 24 days ago
Discovering Temporal Patterns of Differential Gene Expression in Microarray Time Series
: A wealth of time series of microarray measurements have become available over recent years. Several two-sample tests for detecting differential gene expression in these time seri...
Oliver Stegle, Katherine J. Denby, David L. Wild, ...
KDD
1999
ACM
117views Data Mining» more  KDD 1999»
13 years 10 months ago
Identifying Distinctive Subsequences in Multivariate Time Series by Clustering
Most time series comparison algorithms attempt to discover what the members of a set of time series have in common. We investigate a di erent problem, determining what distinguish...
Tim Oates
ICDM
2006
IEEE
193views Data Mining» more  ICDM 2006»
14 years 9 days ago
Feature Subset Selection on Multivariate Time Series with Extremely Large Spatial Features
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 (...
Hyunjin Yoon, Cyrus Shahabi
GVD
2004
107views Database» more  GVD 2004»
13 years 7 months ago
A Representation of Time Series for Temporal Web Mining
Data with temporal information is constantly generated, sampled, gathered, and analyzed in different domains, such as medicine, finance, engineering, environmental sciences, and e...
Mireille Samia
ICSM
2007
IEEE
14 years 17 days ago
Discovering Dynamic Developer Relationships from Software Version Histories by Time Series Segmentation
Time series analysis is a promising approach to discover temporal patterns from time stamped, numeric data. A novel approach to apply time series analysis to discern temporal info...
Harvey P. Siy, Parvathi Chundi, Daniel J. Rosenkra...