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» Detecting Change in Data Streams
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FEGC
2009
94views Biometrics» more  FEGC 2009»
13 years 5 months ago
Online and adaptive anomaly Detection: detecting intrusions in unlabelled audit data streams
Wei Wang 0012, Thomas Guyet, Rene Quiniou, Marie-O...
KDD
2009
ACM
224views Data Mining» more  KDD 2009»
14 years 7 days ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
ICDM
2006
IEEE
91views Data Mining» more  ICDM 2006»
14 years 1 months ago
Entropy-based Concept Shift Detection
When monitoring sensory data (e.g., from a wearable device) the context oftentimes changes abruptly: people move from one situation (e.g., working quietly in their office) to ano...
Peter Vorburger, Abraham Bernstein
SSD
2005
Springer
153views Database» more  SSD 2005»
14 years 1 months ago
Change Detection in Time Series Data Using Wavelet Footprints
In this paper, we propose a novel approach to address the problem of change detection in time series data. Our approach is based on wavelet footprints proposed originally by the si...
Mehdi Sharifzadeh, Farnaz Azmoodeh, Cyrus Shahabi
ISI
2008
Springer
13 years 7 months ago
Analysis of cyberactivism: A case study of online free Tibet activities
In this paper, we study the problem of anomaly detection in high-dimensional network streams. We have developed a new technique, called Stream Projected Ouliter deTector (SPOT), t...
Tianjun Fu, Hsinchun Chen