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STOC
2002
ACM
149views Algorithms» more  STOC 2002»
16 years 5 months ago
The complexity of choosing an H-colouring (nearly) uniformly at random
Cooper, Dyer and Frieze studied the problem of sampling H-colourings (nearly) uniformly at random. Special cases of this problem include sampling colourings and independent sets a...
Leslie Ann Goldberg, Steven Kelk, Mike Paterson
STOC
2001
ACM
134views Algorithms» more  STOC 2001»
16 years 5 months ago
Fully-dynamic min-cut
We show that we can maintain up to polylogarithmic edge connectivity for a fully-dynamic graph in ~O(pn) time per edge insertion or deletion. Within logarithmic factors, this matc...
Mikkel Thorup
SIGMOD
2008
ACM
150views Database» more  SIGMOD 2008»
16 years 5 months ago
Ranking queries on uncertain data: a probabilistic threshold approach
Uncertain data is inherent in a few important applications such as environmental surveillance and mobile object tracking. Top-k queries (also known as ranking queries) are often n...
Ming Hua, Jian Pei, Wenjie Zhang, Xuemin Lin
SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
16 years 2 months ago
Detecting Communities in Social Networks Using Max-Min Modularity.
Many datasets can be described in the form of graphs or networks where nodes in the graph represent entities and edges represent relationships between pairs of entities. A common ...
Jiyang Chen, Osmar R. Zaïane, Randy Goebel
SDM
2009
SIAM
220views Data Mining» more  SDM 2009»
16 years 2 months ago
Bayesian Cluster Ensembles.
Cluster ensembles provide a framework for combining multiple base clusterings of a dataset to generate a stable and robust consensus clustering. There are important variants of th...
Hongjun Wang, Hanhuai Shan, Arindam Banerjee