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SDM
2009
SIAM
291views Data Mining» more  SDM 2009»
16 years 3 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...
CVPR
2010
IEEE
16 years 2 months ago
Sufficient Dimensionality Reduction for Visual Sequence Classification
When classifying high-dimensional sequence data, traditional methods (e.g., HMMs, CRFs) may require large amounts of training data to avoid overfitting. In such cases dimensional...
Alex Shyr, Raquel Urtasun, Michael Jordan
WEBDB
2009
Springer
100views Database» more  WEBDB 2009»
16 years 1 months ago
Towards Well-Behaved Schema Evolution
We study the problem of schema evolution in the RDF data model. RDF and the RDFS schema language are W3C standards for flexibly modeling and sharing data on the web. Although sch...
Rada Chirkova, George H. L. Fletcher
PKDD
2009
Springer
175views Data Mining» more  PKDD 2009»
16 years 1 months ago
Latent Dirichlet Bayesian Co-Clustering
Co-clustering has emerged as an important technique for mining contingency data matrices. However, almost all existing coclustering algorithms are hard partitioning, assigning each...
Pu Wang, Carlotta Domeniconi, Kathryn B. Laskey
CLUSTER
2008
IEEE
16 years 1 months ago
Redistribution aware two-step scheduling for mixed-parallel applications
— Applications raising in many scientific fields exhibit both data and task parallelism that have to be exploited efficiently. A classic approach is to structure those applica...
Sascha Hunold, Thomas Rauber, Frédér...