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GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
14 years 2 months ago
Is negative selection appropriate for anomaly detection?
Negative selection algorithms for hamming and real-valued shape-spaces are reviewed. Problems are identified with the use of these shape-spaces, and the negative selection algori...
Thomas Stibor, Philipp H. Mohr, Jonathan Timmis, C...
CAISE
2009
Springer
14 years 19 days ago
Anomaly Detection Using Process Mining
Abstract. Recently, several large companies have been involved in financial scandals related to mismanagement, resulting in financial damages for their stockholders. In response, c...
Fábio de Lima Bezerra, Jacques Wainer, Wil ...
SDM
2007
SIAM
146views Data Mining» more  SDM 2007»
13 years 10 months ago
ROAM: Rule- and Motif-Based Anomaly Detection in Massive Moving Object Data Sets
With recent advances in sensory and mobile computing technology, enormous amounts of data about moving objects are being collected. One important application with such data is aut...
Xiaolei Li, Jiawei Han, Sangkyum Kim, Hector Gonza...
ATAL
2011
Springer
12 years 8 months ago
Online anomaly detection in unmanned vehicles
Autonomy requires robustness. The use of unmanned (autonomous) vehicles is appealing for tasks which are dangerous or dull. However, increased reliance on autonomous robots increa...
Eliahu Khalastchi, Gal A. Kaminka, Meir Kalech, Ra...
ISCC
2006
IEEE
169views Communications» more  ISCC 2006»
14 years 2 months ago
Hierarchical Anomaly Detection in Distributed Large-Scale Sensor Networks
In this paper, an anomaly detection approach that fuses data gathered from different nodes in a distributed wireless sensor network is proposed and evaluated. The emphasis of this...
Vasilis Chatzigiannakis, Symeon Papavassiliou, Mar...