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

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dc.contributor.advisorBiswas, Rubel
dc.contributor.advisorAlam, Md. Zahangir
dc.contributor.authorBillah, Muhtasim
dc.date.accessioned2014-02-17T05:18:18Z
dc.date.available2014-02-17T05:18:18Z
dc.date.issued2014-01
dc.descriptionThis thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2014.
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (page 46).
dc.identifier.otherID 10101002
dc.identifier.otherhttps://dspace.bracu.ac.bd/server/api/core/items/48637ad9-53c1-472c-aa05-09f65ca01492
dc.identifier.urihttp://hdl.handle.net/10361/2938
dc.language.isoen
dc.publisherBRAC University
dc.sourceBRAC University Institutional Repository
dc.subjectData Mining
dc.subjectParkinson data
dc.subjectClassification algorithm
dc.subjectAssociation algorithm
dc.subjectComputer science and engineering
dc.subjectWeka tool
dc.titleSymptom analysis of Parkinson disease using SVM-SMO and Ada-Boost classifiers
dc.typeThesis

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Thesis (Bachelor of Science in Computer Science and Engineering)