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SDM
2009
SIAM
291views Data Mining» more  SDM 2009»
14 years 4 months ago
Detection and Characterization of Anomalies in Multivariate Time Series.
Anomaly detection in multivariate time series is an important data mining task with applications to ecosystem modeling, network traffic monitoring, medical diagnosis, and other d...
Christopher Potter, Haibin Cheng, Pang-Ning Tan, S...
CORR
2007
Springer
151views Education» more  CORR 2007»
13 years 7 months ago
Decision tree modeling with relational views
Data mining is a useful decision support technique that can be used to discover production rules in warehouses or corporate data. Data mining research has made much effort to appl...
Fadila Bentayeb, Jérôme Darmont
WWW
2007
ACM
14 years 8 months ago
Detectives: detecting coalition hit inflation attacks in advertising networks streams
Click fraud is jeopardizing the industry of Internet advertising. Internet advertising is crucial for the thriving of the entire Internet, since it allows producers to advertise t...
Ahmed Metwally, Divyakant Agrawal, Amr El Abbadi
DSN
2008
IEEE
14 years 2 months ago
Anomaly? application change? or workload change? towards automated detection of application performance anomaly and change
: Automated tools for understanding application behavior and its changes during the application life-cycle are essential for many performance analysis and debugging tasks. Applicat...
Ludmila Cherkasova, Kivanc M. Ozonat, Ningfang Mi,...
KDD
2009
ACM
228views Data Mining» more  KDD 2009»
14 years 8 months ago
A generalized Co-HITS algorithm and its application to bipartite graphs
Recently many data types arising from data mining and Web search applications can be modeled as bipartite graphs. Examples include queries and URLs in query logs, and authors and ...
Hongbo Deng, Michael R. Lyu, Irwin King