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» Empirical comparison of algorithms for network community det...
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ICDE
2010
IEEE
209views Database» more  ICDE 2010»
14 years 24 days ago
Overlapping Community Search for social networks
— Finding decompositions of a graph into a family of clusters is crucial to understanding its underlying structure. While most existing approaches focus on partitioning the nodes...
Arnau Padrol-Sureda, Guillem Perarnau-Llobet, Juli...
ICML
2007
IEEE
14 years 8 months ago
Comparisons of sequence labeling algorithms and extensions
In this paper, we survey the current state-ofart models for structured learning problems, including Hidden Markov Model (HMM), Conditional Random Fields (CRF), Averaged Perceptron...
Nam Nguyen, Yunsong Guo
CLEF
2009
Springer
13 years 8 months ago
MorphoNet: Exploring the Use of Community Structure for Unsupervised Morpheme Analysis
This paper investigates a novel approach to unsupervised morphology induction relying on community detection in networks. In a first step, morphological transformation rules are a...
Delphine Bernhard
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
11 years 10 months ago
Intrusion as (anti)social communication: characterization and detection
A reasonable definition of intrusion is: entering a community to which one does not belong. This suggests that in a network, intrusion attempts may be detected by looking for com...
Qi Ding, Natallia Katenka, Paul Barford, Eric D. K...
WCNC
2010
IEEE
13 years 11 months ago
A Comparison between Stand-Alone and Distributed Architectures for Spectrum Hole Detection
Abstract—In this paper two different cognitive radio architectures, i.e. stand-alone and distributed, are proposed for spectrum sensing purposes. In particular, both architecture...
Luca Bixio, Marina Ottonello, Mirco Raffetto, Carl...