Optimization techniques in data mining with applications to biomedical and psychophysiological data sets

Our research mainly consisted by two parts. First, apply p-norm error measure instead of 1-norm measure in a linear programming discrimination, which generates a linear hyperplane to classify two data sets. With this p-norm error measure, the errors generated by the classifier are not treated equall...

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Bibliographic Details
Main Author:	Yu, Zhaohan
Other Authors:	Krokhmal, Pavlo
Format:	Others
Language:	English
Published:	University of Iowa 2009
Subjects:	Data Mining Discrete Fourier Transformation EEG Linear Progamming Optimization Psychophysiologica Industrial Engineering
Online Access:	https://ir.uiowa.edu/etd/274 https://ir.uiowa.edu/cgi/viewcontent.cgi?article=1459&context=etd

id	ndltd-uiowa.edu-oai-ir.uiowa.edu-etd-1459
record_format	oai_dc
spelling	ndltd-uiowa.edu-oai-ir.uiowa.edu-etd-14592019-10-13T04:54:38Z Optimization techniques in data mining with applications to biomedical and psychophysiological data sets Yu, Zhaohan Our research mainly consisted by two parts. First, apply p-norm error measure instead of 1-norm measure in a linear programming discrimination, which generates a linear hyperplane to classify two data sets. With this p-norm error measure, the errors generated by the classifier are not treated equally but rather biased. For 1, the bigger one error is, the more weight it obtains in the objective function. Second, investigation is conducted on a psychophysiological data set. Various methods are tested on this multi-dimensional time-series data set, from the linear programming method to the neural network method. With the help of DFT, The data is able to be transferred from the time domain to the frequency domain, in which the data set has interesting patterns 2009-05-01T07:00:00Z thesis application/pdf https://ir.uiowa.edu/etd/274 https://ir.uiowa.edu/cgi/viewcontent.cgi?article=1459&context=etd Copyright 2009 Zhaohan Yu Theses and Dissertations eng University of IowaKrokhmal, Pavlo Data Mining Discrete Fourier Transformation EEG Linear Progamming Optimization Psychophysiologica Industrial Engineering
collection	NDLTD
language	English
format	Others
sources	NDLTD
topic	Data Mining Discrete Fourier Transformation EEG Linear Progamming Optimization Psychophysiologica Industrial Engineering
spellingShingle	Data Mining Discrete Fourier Transformation EEG Linear Progamming Optimization Psychophysiologica Industrial Engineering Yu, Zhaohan Optimization techniques in data mining with applications to biomedical and psychophysiological data sets
description	Our research mainly consisted by two parts. First, apply p-norm error measure instead of 1-norm measure in a linear programming discrimination, which generates a linear hyperplane to classify two data sets. With this p-norm error measure, the errors generated by the classifier are not treated equally but rather biased. For 1, the bigger one error is, the more weight it obtains in the objective function. Second, investigation is conducted on a psychophysiological data set. Various methods are tested on this multi-dimensional time-series data set, from the linear programming method to the neural network method. With the help of DFT, The data is able to be transferred from the time domain to the frequency domain, in which the data set has interesting patterns
author2	Krokhmal, Pavlo
author_facet	Krokhmal, Pavlo Yu, Zhaohan
author	Yu, Zhaohan
author_sort	Yu, Zhaohan
title	Optimization techniques in data mining with applications to biomedical and psychophysiological data sets
title_short	Optimization techniques in data mining with applications to biomedical and psychophysiological data sets
title_full	Optimization techniques in data mining with applications to biomedical and psychophysiological data sets
title_fullStr	Optimization techniques in data mining with applications to biomedical and psychophysiological data sets
title_full_unstemmed	Optimization techniques in data mining with applications to biomedical and psychophysiological data sets
title_sort	optimization techniques in data mining with applications to biomedical and psychophysiological data sets
publisher	University of Iowa
publishDate	2009
url	https://ir.uiowa.edu/etd/274 https://ir.uiowa.edu/cgi/viewcontent.cgi?article=1459&context=etd
work_keys_str_mv	AT yuzhaohan optimizationtechniquesindataminingwithapplicationstobiomedicalandpsychophysiologicaldatasets
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Optimization techniques in data mining with applications to biomedical and psychophysiological data sets

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