Browsing Department of Industrial, Manufacturing, and Systems Engineering by Author "Kim, Seoung Bum"
Now showing items 1-5 of 5
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Data Mining-driven Approahces For Process Monitoring And Diagnosis
Sukchotrat, Thuntee (Industrial & Manufacturing Engineering, 2009-09-16)The objective of this dissertation is to develop a new set of efficient process monitoring and diagnostic tools through their integration with data mining algorithms. Statistical process control (SPC) is one of the most ... -
Functional Data Analysis For Environmental And Biomedical Problems
Temiyasathit, Chivalai (Industrial & Manufacturing Engineering, 2009-09-16)Vast amounts of data are being generated due to the development of sensing technology. Among those, one of the common types of data usually found in various discipline is the functional data. Because the functional data ... -
Integration Of Data Mining Algorithms And Control Charts For Multivariate And Autocorrelated Processes
Jitpitaklert, Weerawat (Industrial & Manufacturing Engineering, 2010-03-03)The objective of this dissertation is to integrate state-of-the-art data mining algorithms with statistical process control (SPC) tools to achieve efficient monitoring in multivariate and autocorrelated process. Process ... -
Novel Nonparametric Control Charts For Monitoring Multivariate Processes
Chongfuangprinya, Panitarn (Industrial & Manufacturing Engineering, 2010-03-03)The objective of this dissertation is to develop novel nonparametric control charts to effectively monitor and diagnose multivariate processes with a minimal set of modeling assumptions. Statistical process control (SPC) ... -
Unsupervised Data Mining Methods For Functional Data Analysis And Feature Selection
Rattakorn, Panaya (Industrial & Manufacturing Engineering, 2010-03-03)The objective of this dissertation is to develop new unsupervised data mining methods for functional data analysis and feature selection. Unsupervised learning is a modeling process that facilitates the extraction of ...