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AAAI
2012
6 years 11 months ago
Learning Behavior Models for Hybrid Timed Systems
A tailored model of a system is the prerequisite for various analysis tasks, such as anomaly detection, fault identification, or quality assurance. This paper deals with the algo...
Oliver Niggemann, Benno Stein, Asmir Vodencarevic,...
ICDCS
2012
IEEE
6 years 11 months ago
Tiresias: Online Anomaly Detection for Hierarchical Operational Network Data
Operational network data, management data such as customer care call logs and equipment system logs, is a very important source of information for network operators to detect prob...
Chi-Yao Hong, Matthew Caesar, Nick G. Duffield, Ji...
ISSTA
2012
ACM
6 years 12 months ago
Static detection of brittle parameter typing
To avoid receiving incorrect arguments, a method specifies the expected type of each formal parameter. However, some parameter types are too general and have subtypes that the me...
Michael Pradel, Severin Heiniger, Thomas R. Gross
WSDM
2012
ACM
245views Data Mining» more  WSDM 2012»
7 years 5 months ago
The early bird gets the buzz: detecting anomalies and emerging trends in information networks
In this work we propose a novel approach to anomaly detection in streaming communication data. We first build a stochastic model for the system based on temporal communication pa...
Brian Thompson
WACV
2012
IEEE
7 years 5 months ago
LOST: Longterm Observation of Scenes (with Tracks)
We introduce the Longterm Observation of Scenes (with Tracks) dataset. This dataset comprises videos taken from streaming outdoor webcams, capturing the same half hour, each day, ...
Austin Abrams, Jim Tucek, Joshua Little, Nathan Ja...
IACR
2011
111views more  IACR 2011»
7 years 9 months ago
Secure Multi-Party Sorting and Applications
Sorting is among the most fundamental and well-studied problems within computer science and a core step of many algorithms. In this article, we consider the problem of constructing...
Kristján Valur Jónsson, Gunnar Kreit...
HUC
2011
Springer
7 years 9 months ago
iBAT: detecting anomalous taxi trajectories from GPS traces
GPS-equipped taxis can be viewed as pervasive sensors and the large-scale digital traces produced allow us to reveal many hidden “facts” about the city dynamics and human beha...
Daqing Zhang, Nan Li, Zhi-Hua Zhou, Chao Chen, Lin...
CIKM
2011
Springer
7 years 9 months ago
Detecting anomalies in graphs with numeric labels
This paper presents Yagada, an algorithm to search labelled graphs for anomalies using both structural data and numeric attributes. Yagada is explained using several security-rela...
Michael Davis, Weiru Liu, Paul Miller, George Redp...
ATAL
2011
Springer
7 years 9 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...
SDM
2011
SIAM
256views Data Mining» more  SDM 2011»
8 years 6 days ago
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time
This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...
Michael Hahsler, Margaret H. Dunham
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