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Application of data mining identifying topics at the document level

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bracu.degree.levelUndergraduate
bracu.type.groupStudent Works
datacite.rightsOpen Access
dc.contributor.advisorAli, Abu Mohammad Hammad
dc.contributor.authorReza, Marifa Farzin
dc.contributor.authorMatin, Rizwana
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2012-05-31T09:04:10Z
dc.date.available2012-05-31T09:04:10Z
dc.date.copyright2012
dc.date.issued4/12/2012
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (page 17).
dc.descriptionThis thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2012.en_US
dc.description.abstractData mining techniques are very popular in modern days and are used in NLP (Natural Language Processing). One of the techniques like clustering items to groups has been used way back. This technique is applied to find different topics for natural documents. In our thesis we aim to replicate some of these results and empirically verify this measure to identify hypothetical topic boundaries.en_US
dc.description.degreeBachelor of Science in Computer Science and Engineering
dc.description.statementofresponsibilityReza, Marifa Farzin
dc.description.statementofresponsibilityMatin, Rizwana
dc.format.extent18 pages
dc.identifier.otherID 08101013
dc.identifier.otherID 08101012
dc.identifier.urihttp://hdl.handle.net/10361/1845
dc.publisherBRAC Universityen_US
dc.rightsBRAC 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.subjectComputer science and engineering
dc.titleApplication of data mining identifying topics at the document levelen_US
dc.typeThesisen_US

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Thesis (Bachelor of Science in Computer Science and Engineering)