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» Kronecker Graphs: An Approach to Modeling Networks
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TON
2010
126views more  TON 2010»
13 years 3 months ago
MAC Scheduling With Low Overheads by Learning Neighborhood Contention Patterns
Aggregate traffic loads and topology in multi-hop wireless networks may vary slowly, permitting MAC protocols to `learn' how to spatially coordinate and adapt contention patte...
Yung Yi, Gustavo de Veciana, Sanjay Shakkottai
GECCO
2009
Springer
254views Optimization» more  GECCO 2009»
14 years 3 months ago
Agglomerative genetic algorithm for clustering in social networks
Size and complexity of data repositories collaboratively created by Web users generate a need for new processing approaches. In this paper, we study the problem of detection of ï¬...
Marek Lipczak, Evangelos E. Milios
WOSP
2005
ACM
14 years 2 months ago
From UML to LQN by XML algebra-based model transformations
The change of focus from code to models promoted by OMG's Model Driven Development raises the need for verification of nonfunctional characteristics of UML models, such as pe...
Gordon Ping Gu, Dorina C. Petriu
INFOCOM
2006
IEEE
14 years 2 months ago
Collaboration Improves the Connectivity of Wireless Networks
— In the standard approach to studying connectivity, a physical layer is assumed that allows direct transmission between neighbors within some ï¬xed distance. The graph resultin...
Sanquan Song, Dennis Goeckel, Donald F. Towsley
TKDE
2011
183views more  TKDE 2011»
13 years 3 months ago
Mining Discriminative Patterns for Classifying Trajectories on Road Networks
—Classification has been used for modeling many kinds of data sets, including sets of items, text documents, graphs, and networks. However, there is a lack of study on a new kind...
Jae-Gil Lee, Jiawei Han, Xiaolei Li, Hong Cheng