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» Object Oriented Extension to Time Series Model
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CVPR
1999
IEEE
14 years 9 months ago
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...
TIME
2009
IEEE
14 years 2 months ago
Event-Oriented Data Models and Temporal Queries in Transaction-Time Databases
—Past research on temporal databases has primarily focused on state-based representations and on relational query language extensions for such representations. This led to many d...
Carlo Zaniolo
COMPGEOM
1997
ACM
13 years 11 months ago
Time-Series Similarity Problems and Well-Separated Geometric Sets
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...
Béla Bollobás, Gautam Das, Dimitrios...
IJCNN
2006
IEEE
14 years 1 months ago
Local Support Vector Regression for Financial Time Series Prediction
— We consider the regression problem for financial time series. Typically, financial time series are non-stationary and volatile in nature. Because of its good generalization p...
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...
SDM
2009
SIAM
291views Data Mining» more  SDM 2009»
14 years 4 months ago
Detection and Characterization of Anomalies in Multivariate Time Series.
Anomaly detection in multivariate time series is an important data mining task with applications to ecosystem modeling, network traffic monitoring, medical diagnosis, and other d...
Christopher Potter, Haibin Cheng, Pang-Ning Tan, S...