127 search results - page 3 / 26 » Mining Complex Time-Series Data by Learning Markovian Models |
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
Learning temporal causal graph structures from multivariate time-series data reveals important dependency relationships between current observations and histories, and provides a ...
FQAS
2004
Springer
13 years 11 months ago
2004
Springer
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 ...
COMPGEOM
1997
ACM
13 years 11 months ago
1997
ACM
Given a pair of nonidentical complex objects, de ning and determining how similar they are to each other is a nontrivial problem. In data mining applications, one frequently nee...
IJCNN
2007
IEEE
14 years 1 months ago
2007
IEEE
— This paper suggests a constructive fuzzy system modeling for time series prediction. The model proposed is based on Takagi-Sugeno system and it comprises two phases. First, a f...
AIIA
2009
Springer
14 years 2 months ago
2009
Springer
Wireless sensor networks (WSNs) represent a typical domain where there are complex temporal sequences of events. In this paper we propose a relational framework to model and analys...