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» Anomaly Detection Using Visualization and Machine Learning
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ISDA
2010
IEEE
14 years 7 months ago
Detecting anomalies in spatiotemporal data using genetic algorithms with fuzzy community membership
A genetic algorithm is combined with two variants of the modularity (Q) network analysis metric to examine a substantial amount fisheries catch data. The data set produces one of t...
Garnett Carl Wilson, Simon Harding, Orland Hoeber,...

Publication
363views
13 years 8 months ago
Detecting and Discriminating Behavioural Anomalies
This paper aims to address the problem of anomaly detection and discrimination in complex behaviours, where anomalies are subtle and difficult to detect owing to the complex tempor...
Chen Change Loy, Tao Xiang, Shaogang Gong
121
Voted
WWW
2008
ACM
15 years 10 months ago
Detecting image spam using visual features and near duplicate detection
Email spam is a much studied topic, but even though current email spam detecting software has been gaining a competitive edge against text based email spam, new advances in spam g...
Bhaskar Mehta, Saurabh Nangia, Manish Gupta 0002, ...
FEGC
2010
161views Biometrics» more  FEGC 2010»
14 years 11 months ago
Detecting anomalies in data streams using statecharts
The environment around us is progressively equipped with various sensors, producing data continuously. The applications using these data face many challenges, such as data stream i...
Vasile-Marian Scuturici, Dan-Mircea Suciu, Romain ...
GAMESEC
2010
136views Game Theory» more  GAMESEC 2010»
14 years 7 months ago
Effective Multimodel Anomaly Detection Using Cooperative Negotiation
Abstract. Many computer protection tools incorporate learning techniques that build mathematical models to capture the characteristics of system's activity and then check whet...
Alberto Volpatto, Federico Maggi, Stefano Zanero