Spam mail filtering system using semantic enrichment
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, HJ | - |
dc.contributor.author | Kim, HN | - |
dc.contributor.author | Jung, Jason J. | - |
dc.contributor.author | Jo, GS | - |
dc.date.available | 2020-03-07T02:40:45Z | - |
dc.date.issued | 2004 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.issn | 1611-3349 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/37635 | - |
dc.description.abstract | As the Internet infrastructure has been developed, E-mail is regrarded as one of the most important methods for exchanging information because of easy usage and low cost. Meanwhile, exponentially growing unwanted mails in users' mailbox have been raised as a main problem. To solve this problem. researchers have suggested many methodologies that are based on Bayesian classification. The kind of system usually shows high performances of precision and recall. But they have several problems. First, it has a cold start problem, that is, training phase has to be done before execution of the system. The system must be trained about spam and non-spam mail. Second. its cost for filtering spam mail is higher than rule-based system. Third. if E-mail has only few terms those represent its contents, the filtering performance is fallen. In this paper, we have focused on the last issued problem and we suggest spam mail filtering system using Semantic Enrichment. For the experiment, we tested the performance by using the measurements like precision, recall, and F1-measure. As compared with Bayesian classifier, the proposed system obtained 4-1%. 10.5% and 7.64% of improved precision, recall and F1-measure, respectively. | - |
dc.format.extent | 10 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | SPRINGER-VERLAG BERLIN | - |
dc.title | Spam mail filtering system using semantic enrichment | - |
dc.type | Article | - |
dc.identifier.doi | 10.1007/978-3-540-30480-7_64 | - |
dc.identifier.bibliographicCitation | WEB INFORMATION SYSTEMS - WISE 2004, PROCEEDINGS, v.3306, pp 619 - 628 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000226128000064 | - |
dc.identifier.scopusid | 2-s2.0-35048880703 | - |
dc.citation.endPage | 628 | - |
dc.citation.startPage | 619 | - |
dc.citation.title | WEB INFORMATION SYSTEMS - WISE 2004, PROCEEDINGS | - |
dc.citation.volume | 3306 | - |
dc.type.docType | Article; Proceedings Paper | - |
dc.publisher.location | 독일 | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea (06974)02-820-6194
COPYRIGHT 2019 Chung-Ang University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.