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» Approximation Algorithms for Clustering Problems
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ESA
2008
Springer
115views Algorithms» more  ESA 2008»
15 years 8 months ago
Deterministic Sampling Algorithms for Network Design
For several NP-hard network design problems, the best known approximation algorithms are remarkably simple randomized algorithms called Sample-Augment algorithms in [11]. The algor...
Anke van Zuylen
WINE
2005
Springer
122views Economy» more  WINE 2005»
16 years 9 days ago
Walrasian Equilibrium: Hardness, Approximations and Tractable Instances
We study the complexity issues for Walrasian equilibrium in a special case of combinatorial auction, called single-minded auction, in which every participant is interested in only ...
Ning Chen, Atri Rudra
ICTAI
2006
IEEE
16 years 26 days ago
On the Relationships between Clustering and Spatial Co-location Pattern Mining
The goal of spatial co-location pattern mining is to find subsets of spatial features frequently located together in spatial proximity. Example co-location patterns include servi...
Yan Huang, Pusheng Zhang
IPCCC
2007
IEEE
16 years 1 months ago
Scalable and Decentralized Content-Aware Dispatching in Web Clusters
— In this paper, we propose a novel and efficient content-aware dispatching algorithm. Our approach eliminates the potential bottleneck and the single point of failure problems ...
Zhiyong Xu, Jizhong Han, Laxmi N. Bhuyan
PODS
2012
ACM
276views Database» more  PODS 2012»
13 years 9 months ago
Randomized algorithms for tracking distributed count, frequencies, and ranks
We show that randomization can lead to significant improvements for a few fundamental problems in distributed tracking. Our basis is the count-tracking problem, where there are k...
Zengfeng Huang, Ke Yi, Qin Zhang