Please use this identifier to cite or link to this item:
https://scholarhub.balamand.edu.lb/handle/uob/1852
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Dagher, Issam | en_US |
dc.contributor.author | Antoun, Rima | en_US |
dc.date.accessioned | 2020-12-23T09:01:17Z | - |
dc.date.available | 2020-12-23T09:01:17Z | - |
dc.date.issued | 2016 | - |
dc.identifier.uri | https://scholarhub.balamand.edu.lb/handle/uob/1852 | - |
dc.description.abstract | Improving email filtering (Ham vs. Spam emails) is a very important process. The objective of this paper is to increase the filtering accuracy and to decrease the processing time. It discusses different scenarios for Principal Component Analysis-Document Reconstruction (PCADR) classifier implemented for email filtering process The study highlights on the variation in the accuracy of a PCADR classifier with respect to the variation in feature preprocessing. Four scenarios were considered:{09} Scenario 1: Ham and Spam classes are represented with different features.{09} Scenario 2: Ham and Spam classes are represented with same features.{09} Scenario 3: Ham and Spam classes are represented with common terms.{09} Scenario 4: Ham and Spam classes are represented with common Features and Characteristic terms. Different experiments were done using a public corpus extracted from the University of California-Irvine Machine Learning Repository. Different training and test sets were used. A comparison of PCADR with Support Vector Machine and Bayes detector was done to prove its superior behavior. | en_US |
dc.language.iso | eng | en_US |
dc.subject | Ham | en_US |
dc.subject | Spam | en_US |
dc.subject | PCA | en_US |
dc.subject | SVM | en_US |
dc.subject | Bayes | en_US |
dc.title | Different PCA scenarios for email filtering | en_US |
dc.type | Journal Article | en_US |
dc.identifier.doi | 10.1080/1206212X.2016.1218237 | - |
dc.contributor.affiliation | Department of Computer Engineering | en_US |
dc.description.volume | 38 | en_US |
dc.description.issue | 1 | en_US |
dc.description.startpage | 41 | en_US |
dc.description.endpage | 45 | en_US |
dc.date.catalogued | 2017-11-09 | - |
dc.description.status | Published | en_US |
dc.identifier.ezproxyURL | http://ezsecureaccess.balamand.edu.lb/login?url=http://www.tandfonline.com/doi/full/10.1080/1206212X.2016.1218237 | en_US |
dc.identifier.OlibID | 174872 | - |
dc.relation.ispartoftext | International journal of computers and applications | en_US |
dc.provenance.recordsource | Olib | en_US |
crisitem.author.parentorg | Faculty of Engineering | - |
Appears in Collections: | Department of Computer Engineering |
Record view(s)
26
checked on Apr 24, 2024
Google ScholarTM
Check
Dimensions Altmetric
Dimensions Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.