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

dc.contributor.advisor	Biswas, Rubel
dc.contributor.advisor	Alam, Md. Zahangir
dc.contributor.author	Billah, Muhtasim
dc.date.accessioned	2014-02-17T05:18:18Z
dc.date.available	2014-02-17T05:18:18Z
dc.date.copyright	2014
dc.date.issued	2014-01
dc.identifier.other	ID 10101002
dc.identifier.uri	http://hdl.handle.net/10361/2938
dc.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.
dc.description	Cataloged from PDF version of thesis report.
dc.description	Includes bibliographical references (page 46).
dc.description.statementofresponsibility	Muhtasim Billah
dc.format.extent	46 pages
dc.language.iso	en	en_US
dc.publisher	BRAC University	en_US
dc.rights	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.
dc.subject	Data Mining	en_US
dc.subject	Parkinson data	en_US
dc.subject	Classification algorithm	en_US
dc.subject	Association algorithm	en_US
dc.subject	Weka tool	en_US
dc.subject	Computer science and engineering
dc.title	Symptom analysis of Parkinson disease using SVM-SMO and Ada-Boost classifiers	en_US
dc.type	Thesis	en_US
dc.contributor.department	Department of Computer Science and Engineering, BRAC University
dc.description.degree	B. Computer Science and Engineering