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KDD
2012
ACM
194views Data Mining» more  KDD 2012»
13 years 9 months ago
A sparsity-inducing formulation for evolutionary co-clustering
Traditional co-clustering methods identify block structures from static data matrices. However, the data matrices in many applications are dynamic; that is, they evolve smoothly o...
Shuiwang Ji, Wenlu Zhang, Jun Liu
IRI
2007
IEEE
16 years 27 days ago
BESearch: A Supervised Learning Approach to Search for Molecular Event Participants
Biomedical researchers rely on keyword-based search engines to retrieve superficially relevant documents, from which they must filter out irrelevant information manually. Hence, t...
Richard Tzong-Han Tsai, Hong-Jie Dai, Hsi-Chuan Hu...
VAMOS
2010
Springer
15 years 8 months ago
Variability in Time - Product Line Variability and Evolution Revisited
In its basic form, a variability model describes the variations among similar artifacts from a structural point of view. It does not capture any information about when these variat...
Christoph Elsner, Goetz Botterweck, Daniel Lohmann...
SDM
2007
SIAM
177views Data Mining» more  SDM 2007»
15 years 8 months ago
Multi-way Clustering on Relation Graphs
A number of real-world domains such as social networks and e-commerce involve heterogeneous data that describes relations between multiple classes of entities. Understanding the n...
Arindam Banerjee, Sugato Basu, Srujana Merugu
CCGRID
2010
IEEE
15 years 7 months ago
An MPI-Stream Hybrid Programming Model for Computational Clusters
The MPI programming model hides network type and topology from developers, but also allows them to seamlessly distribute a computational job across multiple cores in both an intra ...
Emilio Pasquale Mancini, Gregory Marsh, Dhabaleswa...