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KDD
2005
ACM
170views Data Mining» more  KDD 2005»
16 years 7 months ago
Parallel mining of closed sequential patterns
Discovery of sequential patterns is an essential data mining task with broad applications. Among several variations of sequential patterns, closed sequential pattern is the most u...
Shengnan Cong, Jiawei Han, David A. Padua
KDD
2005
ACM
157views Data Mining» more  KDD 2005»
16 years 7 months ago
A fast kernel-based multilevel algorithm for graph clustering
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
KDD
2002
ACM
112views Data Mining» more  KDD 2002»
16 years 7 months ago
From run-time behavior to usage scenarios: an interaction-pattern mining approach
A key challenge facing IT organizations today is their evolution towards adopting e-business practices that gives rise to the need for reengineering their underlying software syst...
Mohammad El-Ramly, Eleni Stroulia, Paul G. Sorenso...
CHI
2004
ACM
16 years 7 months ago
Categorical imperative NOT: facial affect is perceived continuously
Facial affect (or emotion) recognition is a central issue for many VMC and naturalistic computing applications. Most computational models assume "categorical perception"...
Diane J. Schiano, Sheryl M. Ehrlich, Kyle Sheridan
CHI
2004
ACM
16 years 7 months ago
Combining 2D and 3D views for orientation and relative position tasks
We compare 2D/3D combination displays to displays with 2D and 3D views alone. Combination displays we consider are: orientation icon (i.e., side-by-side), in-place methods (e.g., ...
Melanie Tory, Torsten Möller, M. Stella Atkin...
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