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PKDD
2009
Springer
196views Data Mining» more  PKDD 2009»
14 years 2 months ago
Causality Discovery with Additive Disturbances: An Information-Theoretical Perspective
We consider causally sufficient acyclic causal models in which the relationship among the variables is nonlinear while disturbances have linear effects, and show that three princi...
Kun Zhang, Aapo Hyvärinen
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
14 years 8 months ago
Density-based clustering for real-time stream data
Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...
Yixin Chen, Li Tu
ICWE
2009
Springer
13 years 5 months ago
Fine-Grained Analysis of Web Tasks through Data Visualization
Abstract. This paper presents an approach for monitoring several important aspects related to user behaviour during the execution of Web tasks1 . The approach includes the tracking...
Gennaro Costagliola, Vittorio Fuccella
KDD
2012
ACM
164views Data Mining» more  KDD 2012»
11 years 10 months ago
SeqiBloc: mining multi-time spanning blockmodels in dynamic graphs
Blockmodelling is an important technique for decomposing graphs into sets of roles. Vertices playing the same role have similar patterns of interactions with vertices in other rol...
Jeffrey Chan, Wei Liu, Christopher Leckie, James B...
KDD
2001
ACM
195views Data Mining» more  KDD 2001»
14 years 8 months ago
Multimedia Data Mining for Traffic Video Sequences
In this paper, a multimedia data mining framework for discovering important but previously unknown knowledge such as vehicle identification, traffic flow, and the spatio-temporal ...
Shu-Ching Chen, Mei-Ling Shyu, Chengcui Zhang, Jef...