| 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 | 4/12/2012 | |
| dc.identifier.other | ID 08101013 | |
| dc.identifier.other | ID 08101012 | |
| dc.identifier.uri | http://hdl.handle.net/10361/1845 | |
| dc.description | Cataloged from PDF version of thesis report. | |
| dc.description | Includes bibliographical references (page 17). | |
| 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.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 | |
