BRAC University Institutional Repository

Application of data mining identifying topics at the document level

DSpace/Manakin Repository

Show simple item record

dc.contributor.advisor Ali, Abu Mohammad Hammad
dc.contributor.author Reza, Marifa Farzin
dc.contributor.author Matin, Rizwana
dc.date.accessioned 2012-05-31T09:04:10Z
dc.date.available 2012-05-31T09:04:10Z
dc.date.copyright 2012
dc.date.issued 2012-04-12
dc.identifier.other ID 08101013
dc.identifier.other ID 08101012
dc.identifier.uri http://hdl.handle.net/10361/1845
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, 2012. en_US
dc.description Cataloged from PDF version of thesis report.
dc.description Includes bibliographical references (page 17).
dc.description.abstract Data 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.statementofresponsibility Reza, Marifa Farzin
dc.description.statementofresponsibility Matin, Rizwana
dc.format.extent 18 pages
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 Computer science and engineering
dc.title Application of data mining identifying topics at the document level 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


Files in this item

Files Size Format View
Thesis.pdf 175.3Kb PDF View/Open or Preview

This item appears in the following Collection(s)

Show simple item record

Policy Guidelines

Search DSpace


Browse

My Account