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» A LRT framework for fast spatial anomaly detection
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KDD
2009
ACM
151views Data Mining» more  KDD 2009»
14 years 11 months ago
A LRT framework for fast spatial anomaly detection
Given a spatial data set placed on an n ? n grid, our goal is to find the rectangular regions within which subsets of the data set exhibit anomalous behavior. We develop algorithm...
Mingxi Wu, Xiuyao Song, Chris Jermaine, Sanjay Ran...
CVPR
2010
IEEE
13 years 11 months ago
Anomaly detection in crowded scenes
A novel framework for anomaly detection in crowded scenes is presented. Three properties are identified as important for the design of a localized video representation suitable f...
Vijay Mahadevan, Weixin Li, Viral Bhalodia, Nuno V...
ICISC
2004
169views Cryptology» more  ICISC 2004»
14 years 4 days ago
ADWICE - Anomaly Detection with Real-Time Incremental Clustering
Abstract. Anomaly detection, detection of deviations from what is considered normal, is an important complement to misuse detection based on attack signatures. Anomaly detection in...
Kalle Burbeck, Simin Nadjm-Tehrani
NOMS
2008
IEEE
141views Communications» more  NOMS 2008»
14 years 5 months ago
Detecting BGP anomalies with wavelet
—In this paper, we propose a BGP anomaly detection framework called BAlet that delivers both temporal and spatial localization of the potential anomalies. It requires only a simp...
Jianning Mai, Lihua Yuan, Chen-Nee Chuah
IM
2007
14 years 5 days ago
Real-time Analysis of Flow Data for Network Attack Detection
— With the wide deployment of flow monitoring in IP networks, the analysis of the exported flow data has become an important research area. It has been shown that flow data ca...
Gerhard Münz, Georg Carle