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» Anomaly Detection Using Process Mining
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DATAMINE
2007
135views more  DATAMINE 2007»
13 years 9 months ago
Experiencing SAX: a novel symbolic representation of time series
Many high level representations of time series have been proposed for data mining, including Fourier transforms, wavelets, eigenwaves, piecewise polynomial models etc. Many researc...
Jessica Lin, Eamonn J. Keogh, Li Wei, Stefano Lona...
ICASSP
2009
IEEE
14 years 4 months ago
A framework for distributed multimedia stream mining systems using coalition-based foresighted strategies
In this paper, we propose a distributed solution to the problem of configuring classifier trees in distributed stream mining systems. The configuration involves selecting appro...
Hyunggon Park, Deepak S. Turaga, Olivier Verscheur...
DATAMINE
2006
164views more  DATAMINE 2006»
13 years 9 months ago
Fast Distributed Outlier Detection in Mixed-Attribute Data Sets
Efficiently detecting outliers or anomalies is an important problem in many areas of science, medicine and information technology. Applications range from data cleaning to clinica...
Matthew Eric Otey, Amol Ghoting, Srinivasan Partha...
ECIR
2009
Springer
14 years 6 months ago
Topic and Trend Detection in Text Collections Using Latent Dirichlet Allocation
Algorithms that enable the process of automatically mining distinct topics in document collections have become increasingly important due to their applications in many fields and ...
Levent Bolelli, Seyda Ertekin, C. Lee Giles
ICMCS
2009
IEEE
140views Multimedia» more  ICMCS 2009»
13 years 7 months ago
Resource-adaptive multimedia analysis on stream mining systems
Large-scale multimedia semantic concept detection requires realtime identification of a set of concepts in streaming video or large image datasets. The potentially high data volum...
Deepak S. Turaga, Rong Yan, Olivier Verscheure, Br...