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» Multivariate Conditional Anomaly Detection and Its Clinical ...
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SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
14 years 1 months ago
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...
RAID
2010
Springer
13 years 3 months ago
Community Epidemic Detection Using Time-Correlated Anomalies
Abstract. An epidemic is malicious code running on a subset of a community, a homogeneous set of instances of an application. Syzygy is an epidemic detection framework that looks f...
Adam J. Oliner, Ashutosh V. Kulkarni, Alex Aiken
SDM
2007
SIAM
146views Data Mining» more  SDM 2007»
13 years 6 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...
VIS
2008
IEEE
134views Visualization» more  VIS 2008»
14 years 6 months ago
Glyph-Based SPECT Visualization for the Diagnosis of Coronary Artery Disease
Myocardial perfusion imaging with single photon emission computed tomography (SPECT) is an established method for the detection and evaluation of coronary artery disease (CAD). Sta...
Jennis Meyer-Spradow, Lars Stegger, Christian DÃ...
SDM
2011
SIAM
233views Data Mining» more  SDM 2011»
12 years 7 months ago
Distributed Monitoring of the R2 Statistic for Linear Regression
The problem of monitoring a multivariate linear regression model is relevant in studying the evolving relationship between a set of input variables (features) and one or more depe...
Kanishka Bhaduri, Kamalika Das, Chris Giannella