Integration of data clustering to intelligent email classifier
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2017.
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Brac University
2019
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| Online pristup: | http://hdl.handle.net/10361/12444 |
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10361-124442022-01-26T10:15:57Z Integration of data clustering to intelligent email classifier Zisan, Shahriar Ahmed Moin Mostakim Department of Computer Science and Engineering, Brac University Data clustering Email Data mining. This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2017. Cataloged from PDF version of thesis. Includes bibliographical references (pages 47-48). In recent years there are more than billion of email users .People are dependent on electronic mails. ft has become an urgent and crucial component of communication .One of the cheapest and fastest communication mean. Emails can grow at a large scale. Sorting the emails according to their content can be a useful and time saving. Cluster analysis can come in action while classifying the email documents .Cluster analysis is a sub-field in machine learning a sub field of artificial intelligence, that refers to a group of algorithms that try to find a natural grouping of objects based on some objective metric. In general this problem is hard because a good grouping might be subjective. The k-means algorithm is one of the simplest and predominantly used algorithms for unsupervised learning procedure clustering. Existing email clusters are supervised clusters. In this thesis, we inherit the simplest machine learning strategies like k-means, k nearest neighbors and represent an intelligent email classifier combined with both supervised and unsupervised algorithm that categorizes email documents based on the body contents. Shahriar Ahmed Zisan B. Computer Science 2019-08-01T05:02:26Z 2019-08-01T05:02:26Z 2017 2017 Thesis ID 14241010 http://hdl.handle.net/10361/12444 en Brac University theses 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. 48 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Data clustering Data mining. |
| spellingShingle |
Data clustering Data mining. Zisan, Shahriar Ahmed Integration of data clustering to intelligent email classifier |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2017. |
| author2 |
Moin Mostakim |
| author_facet |
Moin Mostakim Zisan, Shahriar Ahmed |
| format |
Thesis |
| author |
Zisan, Shahriar Ahmed |
| author_sort |
Zisan, Shahriar Ahmed |
| title |
Integration of data clustering to intelligent email classifier |
| title_short |
Integration of data clustering to intelligent email classifier |
| title_full |
Integration of data clustering to intelligent email classifier |
| title_fullStr |
Integration of data clustering to intelligent email classifier |
| title_full_unstemmed |
Integration of data clustering to intelligent email classifier |
| title_sort |
integration of data clustering to intelligent email classifier |
| publisher |
Brac University |
| publishDate |
2019 |
| url |
http://hdl.handle.net/10361/12444 |
| work_keys_str_mv |
AT zisanshahriarahmed integrationofdataclusteringtointelligentemailclassifier |
| _version_ |
1814308543347556352 |