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» Measuring and extracting proximity in networks
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KDD
2006
ACM
122views Data Mining» more  KDD 2006»
16 years 1 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
15 years 6 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
15 years 2 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
15 years 7 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
15 years 6 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