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SDM
2011
SIAM
233views Data Mining» more  SDM 2011»
13 years 2 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
PERVASIVE
2011
Springer
13 years 2 months ago
n-Gram Geo-trace Modeling
As location-sensing smart phones and location-based services gain mainstream popularity, there is increased interest in developing techniques that can detect anomalous activities. ...
Senaka Buthpitiya, Ying Zhang, Anind K. Dey, Marti...
MOBISYS
2011
ACM
13 years 2 months ago
AccuLoc: practical localization of performance measurements in 3G networks
Operators of 3G data networks need to distinguish the performance of each geographic area in their 3G networks to detect and resolve local network problems. This is because the qu...
Qiang Xu, Alexandre Gerber, Zhuoqing Morley Mao, J...
JMLR
2010
198views more  JMLR 2010»
13 years 6 months ago
Online Anomaly Detection under Adversarial Impact
Security analysis of learning algorithms is gaining increasing importance, especially since they have become target of deliberate obstruction in certain applications. Some securit...
Marius Kloft, Pavel Laskov
IEEEVAST
2010
13 years 6 months ago
Anomaly detection in GPS data based on visual analytics
Modern machine learning techniques provide robust approaches for data-driven modeling and critical information extraction, while human experts hold the advantage of possessing hig...
Zicheng Liao, Yizhou Yu, Baoquan Chen
ICDM
2009
IEEE
150views Data Mining» more  ICDM 2009»
13 years 9 months ago
Filtering and Refinement: A Two-Stage Approach for Efficient and Effective Anomaly Detection
Anomaly detection is an important data mining task. Most existing methods treat anomalies as inconsistencies and spend the majority amount of time on modeling normal instances. A r...
Xiao Yu, Lu An Tang, Jiawei Han
FLAIRS
2009
13 years 9 months ago
Discovering Anomalies to Multiple Normative Patterns in Structural and Numeric Data
One of the primary issues with traditional anomaly detection approaches is their inability to handle complex, structural data. One approach to this issue involves the detection of...
William Eberle, Lawrence B. Holder
RAID
2010
Springer
13 years 9 months ago
What Is the Impact of P2P Traffic on Anomaly Detection?
Abstract. Recent studies estimate that peer-to-peer (p2p) traffic comprises 40-70% of today's Internet traffic [1]. Surprisingly, the impact of p2p traffic on anomaly detectio...
Irfan Ul Haq, Sardar Ali, Hassan Khan, Syed Ali Kh...
IMC
2010
ACM
13 years 9 months ago
Temporally oblivious anomaly detection on large networks using functional peers
Previous methods of network anomaly detection have focused on defining a temporal model of what is "normal," and flagging the "abnormal" activity that does not...
Kevin M. Carter, Richard Lippmann, Stephen W. Boye...
NOMS
2010
IEEE
251views Communications» more  NOMS 2010»
13 years 10 months ago
Online detection of utility cloud anomalies using metric distributions
—The online detection of anomalies is a vital element of operations in data centers and in utility clouds like Amazon EC2. Given ever-increasing data center sizes coupled with th...
Chengwei Wang, Vanish Talwar, Karsten Schwan, Part...