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123
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AIPR
2008
IEEE
15 years 4 months ago
Detection of ephemeral changes in sequences of images
The formalism of anomalous change detection, which was developed for finding unusual changes in pairs of images, is extended to sequences of more than two images. Extended algorith...
James Theiler, Steven M. Adler-Golden
128
Voted
MMNS
2000
98views Multimedia» more  MMNS 2000»
15 years 4 months ago
Automating Internet Routing Behavior Analysis Using Public WWW Traceroute Services
: Growing dependence of commerce, industry and academia on the Internet underlines importance of analyzing its behavior. Changing Internet structure makes the gathered data quickly...
Selim Gurun, Boleslaw K. Szymanski
108
Voted
KDD
2007
ACM
141views Data Mining» more  KDD 2007»
16 years 3 months ago
Detecting anomalous records in categorical datasets
We consider the problem of detecting anomalies in high arity categorical datasets. In most applications, anomalies are defined as data points that are 'abnormal'. Quite ...
Kaustav Das, Jeff G. Schneider
FLAIRS
2010
15 years 5 months ago
Using a Graph-Based Approach for Discovering Cybercrime
The ability to mine data represented as a graph has become important in several domains for detecting various structural patterns. One important area of data mining is anomaly det...
William Eberle, Lawrence B. Holder, Jeffrey Graves
125
Voted
CORR
2010
Springer
206views Education» more  CORR 2010»
15 years 2 months ago
Detecting Anomalous Process Behaviour using Second Generation Artificial Immune Systems
Abstract. Artificial immune systems (AISs) are problem-solving systems inspired by the biological immune system. They have been successfully applied to a number of problem domains ...
Jamie Twycross, Uwe Aickelin, Amanda M. Whitbrook