Document clustering using swarm intelligence
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2012.
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BRAC University
2013
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| Online Erişim: | http://hdl.handle.net/10361/2381 |
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10361-2381 |
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10361-23812022-01-26T10:08:22Z Document clustering using swarm intelligence Rizwan, Md. Adeeb Ali, Abu Mohammad Hammad Department of Computer Science and Engineering, BRAC University Computer science and engineering This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2012. Cataloged from PDF version of thesis report. Includes bibliographical references (page 27). With the recent rise in electronic data, and the pressing time needs of daily life, there is scope for a good document clustering system that can divide a set of documents into similar topic clusters. A lot of different algorithms have been attempted towards this end, from statistical learning methods to neural networks. In more recent years, there has been a growing interest in collective intelligence as often displayed in nature by ants and birds. We would like to do a survey of this last field, and look for possible applications of algorithms in this area for the document clustering problem. Md. Adeeb Rizwan B. Computer Science and Engineering 2013-04-30T18:14:23Z 2013-04-30T18:14:23Z 2012 2012-12 Thesis ID 09201029 http://hdl.handle.net/10361/2381 en 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. 27 pages application/pdf BRAC University |
| institution |
Brac University |
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Institutional Repository |
| language |
English |
| topic |
Computer science and engineering |
| spellingShingle |
Computer science and engineering Rizwan, Md. Adeeb Document clustering using swarm intelligence |
| 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. |
| author2 |
Ali, Abu Mohammad Hammad |
| author_facet |
Ali, Abu Mohammad Hammad Rizwan, Md. Adeeb |
| format |
Thesis |
| author |
Rizwan, Md. Adeeb |
| author_sort |
Rizwan, Md. Adeeb |
| title |
Document clustering using swarm intelligence |
| title_short |
Document clustering using swarm intelligence |
| title_full |
Document clustering using swarm intelligence |
| title_fullStr |
Document clustering using swarm intelligence |
| title_full_unstemmed |
Document clustering using swarm intelligence |
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document clustering using swarm intelligence |
| publisher |
BRAC University |
| publishDate |
2013 |
| url |
http://hdl.handle.net/10361/2381 |
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AT rizwanmdadeeb documentclusteringusingswarmintelligence |
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