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» Measuring and extracting proximity in networks
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KDD
2006
ACM
122views Data Mining» more  KDD 2006»
14 years 5 months ago
Measuring and extracting proximity in networks
Measuring distance or some other form of proximity between objects is a standard data mining tool. Connection subgraphs were recently proposed as a way to demonstrate proximity be...
Yehuda Koren, Stephen C. North, Chris Volinsky
CIKM
2003
Springer
13 years 10 months ago
The link prediction problem for social networks
Given a snapshot of a social network, can we infer which new interactions among its members are likely to occur in the near future? We formalize this question as the link predicti...
David Liben-Nowell, Jon M. Kleinberg
ESANN
1998
13 years 6 months ago
A neural approach to a sensor fusion problem
Our problem concerns the joint interpretation of UltraSonic and InfraRed measurements provided by a composite proximity sensor, in order to extract geometrical and morphological f...
Valentina Colla, Mirko Sgarbi, Leonardo Maria Reyn...
ECCB
2008
IEEE
13 years 11 months ago
Functional coherence in domain interaction networks
Motivation: Extracting functional information from protein–protein interactions (PPI) poses significant challenges arising from the noisy, incomplete, generic and static nature...
Jayesh Pandey, Mehmet Koyutürk, Shankar Subra...
AINTEC
2005
Springer
13 years 10 months ago
Application-Level Versus Network-Level Proximity
Abstract. We motivate in this paper the need for application-level proximity. This proximity is a function of network characteristics that decide on the application performance. Mo...
Mohammad Malli, Chadi Barakat, Walid Dabbous