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» Algorithms for Large, Sparse Network Alignment Problems
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CORR
2008
Springer
153views Education» more  CORR 2008»
13 years 10 months ago
Decomposition Techniques for Subgraph Matching
In the constraint programming framework, state-of-the-art static and dynamic decomposition techniques are hard to apply to problems with complete initial constraint graphs. For suc...
Stéphane Zampelli, Martin Mann, Yves Devill...
CP
1998
Springer
14 years 2 months ago
Modelling CSP Solution Algorithms with Petri Decision Nets
The constraint paradigm provides powerful concepts to represent and solve different kinds of planning problems, e. g. factory scheduling. Factory scheduling is a demanding optimiz...
Stephan Pontow
KDD
2007
ACM
184views Data Mining» more  KDD 2007»
14 years 10 months ago
GraphScope: parameter-free mining of large time-evolving graphs
How can we find communities in dynamic networks of social interactions, such as who calls whom, who emails whom, or who sells to whom? How can we spot discontinuity timepoints in ...
Jimeng Sun, Christos Faloutsos, Spiros Papadimitri...
GLOBECOM
2008
IEEE
14 years 4 months ago
Comparison of Routing and Wavelength Assignment Algorithms in WDM Networks
- We design and implement various algorithms for solving the static RWA problem with the objective of minimizing the maximum number of requested wavelengths based on LP relaxation ...
Kostas Christodoulopoulos, Konstantinos Manousakis...
SDM
2008
SIAM
119views Data Mining» more  SDM 2008»
13 years 11 months ago
An Efficient Local Algorithm for Distributed Multivariate Regression in Peer-to-Peer Networks
This paper offers a local distributed algorithm for multivariate regression in large peer-to-peer environments. The algorithm is designed for distributed inferencing, data compact...
Kanishka Bhaduri, Hillol Kargupta