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KDD
2007
ACM
220views Data Mining» more  KDD 2007»
14 years 6 months ago
SCAN: a structural clustering algorithm for networks
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...
Xiaowei Xu, Nurcan Yuruk, Zhidan Feng, Thomas A. J...
AIIA
2003
Springer
13 years 10 months ago
Improving the SLA Algorithm Using Association Rules
A bayesian network is an appropriate tool for working with uncertainty and probability, that are typical of real-life applications. In literature we find different approaches for b...
Evelina Lamma, Fabrizio Riguzzi, Andrea Stambazzi,...
WWW
2008
ACM
14 years 6 months ago
A framework for fast community extraction of large-scale networks
Most of the faster community extraction algorithms are based on the Clauset, Newman and Moore (CNM), which is employed for networks with sizes up to 500,000 nodes. The modificatio...
Yutaka I. Leon-Suematsu, Kikuo Yuta
KDD
2007
ACM
168views Data Mining» more  KDD 2007»
14 years 6 months ago
Finding tribes: identifying close-knit individuals from employment patterns
We present a family of algorithms to uncover tribes--groups of individuals who share unusual sequences of affiliations. While much work inferring community structure describes lar...
Lisa Friedland, David Jensen
INFOCOM
2007
IEEE
13 years 12 months ago
Separability and Topology Control of Quasi Unit Disk Graphs
— A deep understanding of the structural properties of wireless networks is critical for evaluating the performance of network protocols and improving their designs. Many protoco...
Jianer Chen, Anxiao Jiang, Iyad A. Kanj, Ge Xia, F...