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KDD
2003
ACM
175views Data Mining» more  KDD 2003»
16 years 8 months ago
Weighted Association Rule Mining using weighted support and significance framework
We address the issues of discovering significant binary relationships in transaction datasets in a weighted setting. Traditional model of association rule mining is adapted to han...
Feng Tao, Fionn Murtagh, Mohsen Farid
ICCAD
2005
IEEE
151views Hardware» more  ICCAD 2005»
16 years 4 months ago
Architecture and details of a high quality, large-scale analytical placer
Modern design requirements have brought additional complexities to netlists and layouts. Millions of components, whitespace resources, and fixed/movable blocks are just a few to ...
Andrew B. Kahng, Sherief Reda, Qinke Wang
INFOCOM
2009
IEEE
16 years 2 months ago
Minimizing Probing Cost for Detecting Interface Failures: Algorithms and Scalability Analysis
— The automatic detection of failures in IP paths is an essential step for operators to perform diagnosis or for overlays to adapt. We study a scenario where a set of monitors se...
Hung Xuan Nguyen, Renata Teixeira, Patrick Thiran,...
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WDAG
2009
Springer
103views Algorithms» more  WDAG 2009»
16 years 2 months ago
Distributed Discovery of Large Near-Cliques
Given an undirected graph and 0 ≤ ≤ 1, a set of nodes is called -near clique if all but an fraction of the pairs of nodes in the set have a link between them. In this paper we...
Zvika Brakerski, Boaz Patt-Shamir
GECCO
2009
Springer
141views Optimization» more  GECCO 2009»
16 years 2 months ago
Distributed hyper-heuristics for real parameter optimization
Hyper-heuristics (HHs) are heuristics that work with an arbitrary set of search operators or algorithms and combine these algorithms adaptively to achieve a better performance tha...
Marco Biazzini, Balázs Bánhelyi, Alb...