127 search results - page 3 / 26 » Mining Complex Time-Series Data by Learning Markovian Models |
ICML
2010
IEEE
13 years 6 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 9 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 9 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
13 years 11 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
13 years 12 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...