Symptom analysis of Parkinson disease using SVM-SMO and Ada-Boost classifiers

This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2014.

Detalles Bibliográficos
Autor Principal:	Billah, Muhtasim
Outros autores:	Biswas, Rubel
Formato:	Thesis
Idioma:	English
Publicado:	BRAC University 2014
Subjects:	Data Mining Parkinson data Classification algorithm Association algorithm Weka tool Computer science and engineering
Acceso en liña:	http://hdl.handle.net/10361/2938

id	10361-2938
record_format	dspace
spelling	10361-29382022-01-26T10:10:24Z Symptom analysis of Parkinson disease using SVM-SMO and Ada-Boost classifiers Billah, Muhtasim Biswas, Rubel Alam, Md. Zahangir Department of Computer Science and Engineering, BRAC University Data Mining Parkinson data Classification algorithm Association algorithm Weka tool Computer science and engineering This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2014. Cataloged from PDF version of thesis report. Includes bibliographical references (page 46). Muhtasim Billah B. Computer Science and Engineering 2014-02-17T05:18:18Z 2014-02-17T05:18:18Z 2014 2014-01 Thesis ID 10101002 http://hdl.handle.net/10361/2938 en BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 46 pages application/pdf BRAC University
institution	Brac University
collection	Institutional Repository
language	English
topic	Data Mining Parkinson data Classification algorithm Association algorithm Weka tool Computer science and engineering
spellingShingle	Data Mining Parkinson data Classification algorithm Association algorithm Weka tool Computer science and engineering Billah, Muhtasim Symptom analysis of Parkinson disease using SVM-SMO and Ada-Boost classifiers
description	This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2014.
author2	Biswas, Rubel
author_facet	Biswas, Rubel Billah, Muhtasim
format	Thesis
author	Billah, Muhtasim
author_sort	Billah, Muhtasim
title	Symptom analysis of Parkinson disease using SVM-SMO and Ada-Boost classifiers
title_short	Symptom analysis of Parkinson disease using SVM-SMO and Ada-Boost classifiers
title_full	Symptom analysis of Parkinson disease using SVM-SMO and Ada-Boost classifiers
title_fullStr	Symptom analysis of Parkinson disease using SVM-SMO and Ada-Boost classifiers
title_full_unstemmed	Symptom analysis of Parkinson disease using SVM-SMO and Ada-Boost classifiers
title_sort	symptom analysis of parkinson disease using svm-smo and ada-boost classifiers
publisher	BRAC University
publishDate	2014
url	http://hdl.handle.net/10361/2938
work_keys_str_mv	AT billahmuhtasim symptomanalysisofparkinsondiseaseusingsvmsmoandadaboostclassifiers
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Symptom analysis of Parkinson disease using SVM-SMO and Ada-Boost classifiers

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