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» Modularity-Driven Clustering of Dynamic Graphs
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ASUNAM
2009
IEEE
14 years 22 days ago
Detecting Structural Changes and Command Hierarchies in Dynamic Social Networks
Community detection in social networks varying with time is a common yet challenging problem whereby efficient visualization of evolving relationships and implicit hierarchical s...
Romain Bourqui, Frédéric Gilbert, Pa...
ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
14 years 1 months ago
Incremental Subspace Clustering over Multiple Data Streams
Data streams are often locally correlated, with a subset of streams exhibiting coherent patterns over a subset of time points. Subspace clustering can discover clusters of objects...
Qi Zhang, Jinze Liu, Wei Wang 0010
BMCBI
2007
202views more  BMCBI 2007»
13 years 7 months ago
ProtNet: a tool for stochastic simulations of protein interaction networks dynamics
Background: Protein interactions support cell organization and mediate its response to any specific stimulus. Recent technological advances have produced large data-sets that aim ...
Massimo Bernaschi, Filippo Castiglione, Alessandra...
IJCAI
2007
13 years 9 months ago
MB-DPOP: A New Memory-Bounded Algorithm for Distributed Optimization
In distributed combinatorial optimization problems, dynamic programming algorithms like DPOP ([Petcu and Faltings, 2005]) require only a linear number of messages, thus generating...
Adrian Petcu, Boi Faltings
EXPCS
2007
13 years 9 months ago
Pipeline spectroscopy
Pipeline Spectroscopy is a new technique that allows us to measure the cost of each cache miss. The cost of a miss is displayed (graphed) as a histogram, which represents a precis...
Thomas R. Puzak, Allan Hartstein, Philip G. Emma, ...