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» Approximating Travel Times Using Opportunistic Networking
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VLDB
2006
ACM
162views Database» more  VLDB 2006»
16 years 9 hour ago
Dependency trees in sub-linear time and bounded memory
We focus on the problem of efficient learning of dependency trees. Once grown, they can be used as a special case of a Bayesian network, for PDF approximation, and for many other u...
Dan Pelleg, Andrew W. Moore
ADHOCNOW
2004
Springer
15 years 5 months ago
Approximating the Minimum Number of Maximum Power Users in Ad Hoc Networks
Topology control is the problem of assigning transmission power values to the nodes of an ad hoc network so that the induced graph satisfies some specified property. The most fun...
Errol L. Lloyd, Rui Liu, S. S. Ravi
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
16 years 10 days ago
Constant-factor approximation algorithms for identifying dynamic communities
We propose two approximation algorithms for identifying communities in dynamic social networks. Communities are intuitively characterized as "unusually densely knit" sub...
Chayant Tantipathananandh, Tanya Y. Berger-Wolf
ESA
2004
Springer
105views Algorithms» more  ESA 2004»
15 years 5 months ago
Time Dependent Multi Scheduling of Multicast
Many network applications that need to distribute content and data to a large number of clients use a hybrid scheme in which one (or more) multicast channel is used in parallel to...
Rami Cohen, Dror Rawitz, Danny Raz
MOBIHOC
2008
ACM
15 years 11 months ago
Delay-bounded routing in vehicular ad-hoc networks
Ad hoc networks formed by traveling vehicles are envisaged to become a common platform that will support a wide variety of applications, ranging from road safety to advertising an...
Antonios Skordylis, Niki Trigoni