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ACL
2012
11 years 7 months ago
Subgroup Detector: A System for Detecting Subgroups in Online Discussions
We present Subgroup Detector, a system for analyzing threaded discussions and identifying the attitude of discussants towards one another and towards the discussion topic. The sys...
Amjad Abu-Jbara, Dragomir R. Radev
IJBIDM
2010
80views more  IJBIDM 2010»
13 years 3 months ago
Practical algorithms for subgroup detection in covert networks
: In this paper, we present algorithms for subgroup detection and demonstrated them with a real-time case study of USS Cole bombing terrorist network. The algorithms are demonstrat...
Nasrullah Memon, Uffe Kock Wiil, Abdul Rasool Qure...
CN
1999
128views more  CN 1999»
13 years 5 months ago
Intrusion detection systems as evidence
: Although the main aim of IDSs is to detect intrusions to prompt evasive measures, a further aim can be to supply evidence in criminal and civil legal proceedings. However the fea...
Peter Sommer
AAAI
2007
13 years 7 months ago
COD: Online Temporal Clustering for Outbreak Detection
We present Cluster Onset Detection (COD), a novel algorithm to aid in detection of epidemic outbreaks. COD employs unsupervised learning techniques in an online setting to partiti...
Tomás Singliar, Denver Dash
ARC
2007
Springer
152views Hardware» more  ARC 2007»
13 years 5 months ago
Statistical signal processing approaches to fault detection
: The parity space approach to fault detection and isolation (FDI) has been developed during the last twenty years, and the focus here is to describe its application to stochastic ...
Fredrik Gustafsson