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» Detecting Anomalies in Graphs
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ASUNAM
2010
IEEE
15 years 2 months ago
Tracking the Evolution of Communities in Dynamic Social Networks
Real-world social networks from a variety of domains can naturally be modelled as dynamic graphs. However, approaches to detecting communities have largely focused on identifying ...
Derek Greene, Dónal Doyle, Padraig Cunningh...
CSL
2004
Springer
15 years 28 days ago
HyperLex: lexical cartography for information retrieval
This article describes an algorithm called HyperLex that is capable of automatically determining word uses in a textbase without recourse to a dictionary. The algorithm makes use ...
Jean Véronis
COMSNETS
2012
222views more  COMSNETS 2012»
13 years 8 months ago
Exploring the design space of social network-based Sybil defenses
—Recently, there has been significant research interest in leveraging social networks to defend against Sybil attacks. While much of this work may appear similar at first glanc...
Bimal Viswanath, Mainack Mondal, Allen Clement, Pe...
95
Voted
AI
2009
Springer
15 years 7 months ago
Automatic Frame Extraction from Sentences
We present a method for automatic extraction of frames from .a dependency graph. Our method uses machine learning applied to a dependency tree to assign frames and assign frame ele...
Martin Scaiano, Diana Inkpen
130
Voted
AIRWEB
2008
Springer
15 years 3 months ago
Web spam identification through content and hyperlinks
We present an algorithm, witch, that learns to detect spam hosts or pages on the Web. Unlike most other approaches, it simultaneously exploits the structure of the Web graph as we...
Jacob Abernethy, Olivier Chapelle, Carlos Castillo