A framework of irregularity enlightenment for data pre-processing in data mining

DOI10.1007/S10479-008-0494-ZzbMath1185.68270OpenAlexW2040801642MaRDI QIDQ970169

Siamak G. Hesar, Wei Jiang, Siu-Tong Au, Rong Duan

Publication date: 10 May 2010

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-008-0494-z

zbMATH Keywords

outliersregression modelsfeature selectionLASSOchange pointactivity monitoring

Mathematics Subject Classification ID

Theory of data (68Pxx)

Related Items (4)

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Uses Software

• MAFRA
• LOF
• Orca
• PRMLT

Cites Work

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• Detection of multiple changes in a sequence of dependent variables
• Using penalized contrasts for the change-point problem
• Optimal stopping times for detecting changes in distributions
• Fitting multiple change-point models to data
• Least angle regression. (With discussion)
• Automatic decomposition of time series into step, ramp, and impulse primitives
• Monitoring Processes That Wander Using Integrated Moving Average Models
• Run-Length Distributions of Special-Cause Control Charts for Correlated Processes
• Note on “Comparison of Model Selection for Regression” by Vladimir Cherkassky and Yunqian Ma
• Churn detection via customer profile modelling

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