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A Hybrid Gini PSO-SVM Feature Selection: An Empirical Study of Population Sizes on Different Classifier

Noormadinah Allias, Megat Norulazmi Megat Mohamed Noor, Mohd. Nazri Ismail, Kim de Silva
<span title="">2013</span> <i title="IEEE"> 2013 1st International Conference on Artificial Intelligence, Modelling and Simulation </i> &nbsp;
A performance of anti-spam filter not only depends on the number of features and types of classifier that are used, but it also depends on the other parameter settings.  ...  Random Forest, Voting, Decision Tree, Support Vector Machine and Stacking.  ...  [5] had proposed a novel fuzzy adaptive particle swarm optimization(NFSS) in spam mail detection.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/aims.2013.24">doi:10.1109/aims.2013.24</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/z3d55w5ch5e4lbseflplwi5ny4">fatcat:z3d55w5ch5e4lbseflplwi5ny4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170810081556/http://ijssst.info/Vol-15/No-2/data/3251a094.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/75/10/7510d1a3b659dd1674fc8ddcc9d88f22f4797327.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/aims.2013.24"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Machine Learning based Spam E-Mail Detection

Priti Sharma, Uma Bhardwaj
<span title="2018-06-30">2018</span> <i title="The Intelligent Networks and Systems Society"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hxhhpqr6nrfs5eblsflinrd2wa" style="color: black;">International Journal of Intelligent Engineering and Systems</a> </i> &nbsp;
This paper aims to propose a machine learning based hybrid bagging approach by implementing the two machine learning algorithms: Naïve Bayes and J48 (decision tree) for the spam email detection.  ...  Third experiment is the proposed SMD system implemented using hybrid bagged approach. The overall accuracy of 87.5% achieved by the hybrid bagged approach based SMD system.  ...  In the first phase, Particle Swarm Optimization based algorithm is considered in order to select the best and optimized features.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22266/ijies2018.0630.01">doi:10.22266/ijies2018.0630.01</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/of7y7mmhyjbdvinsmyu5k4gepy">fatcat:of7y7mmhyjbdvinsmyu5k4gepy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220320073257/http://www.inass.org/2018/2018063001.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/bc/60/bc60393ef918832baf4ea808502933c38dc8e346.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22266/ijies2018.0630.01"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Email Filtering Using Hybrid Feature Selection Model

Adel Hamdan Mohammad, Sami Smadi, Tariq Alwada'n
<span title="">2022</span> <i title="Computers, Materials and Continua (Tech Science Press)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5affhnnafnhcngr6wusyti3yru" style="color: black;">CMES - Computer Modeling in Engineering &amp; Sciences</a> </i> &nbsp;
The results of this model are promising and highly acceptable. The second proposed model is based on creating features for spam detection as a first stage.  ...  The algorithms used in the second model are Artificial Bee Colony (ABC), Ant Colony Optimization (ACO), and Particle Swarm Optimization (PSO), and these three algorithms are adapted to fit the proposed  ...  Acknowledgement: Authors are very much thankful to the reviewers and Journal Authorities. Funding Statement: The authors received no specific funding for this study.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.32604/cmes.2022.020088">doi:10.32604/cmes.2022.020088</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ri3cak2p2jd2fktaks7zqye6fi">fatcat:ri3cak2p2jd2fktaks7zqye6fi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220616022004/https://www.techscience.com/CMES/v132n2/48307/pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f1/60/f1605a7e59e5ced464318376e7f21f353dd7c0dc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.32604/cmes.2022.020088"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Whale optimization algorithm-based email spam feature selection method using rotation forest algorithm for classification

Maryam Shuaib, Shafi'i Muhammad Abdulhamid, Olawale Surajudeen Adebayo, Oluwafemi Osho, Ismaila Idris, John K. Alhassan, Nadim Rana
<span title="2019-04-02">2019</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wxtpc7l3qzds3ojx4uwv4dvlr4" style="color: black;">SN Applied Sciences</a> </i> &nbsp;
The problem of spam mails occupying a huge amount of space and bandwidth, and the weaknesses of spam filtering techniques which includes misclassification of genuine emails as spam (false positives) are  ...  Email has continued to be an integral part of our lives and as a means for successful communication on the internet.  ...  A new randomization approach referred to as adaptive technique was hybridized with WOA and tested on ten unconstraint test benchmark functions by Trivedi et al. [35] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s42452-019-0394-7">doi:10.1007/s42452-019-0394-7</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hfyh5axznjbn5krihzukwprfbi">fatcat:hfyh5axznjbn5krihzukwprfbi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190503170308/https://link.springer.com/content/pdf/10.1007%2Fs42452-019-0394-7.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3d/7d/3d7d810ee5020ef3d395cc36173c9d101e8ef465.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s42452-019-0394-7"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a>

Email Spams via Text Mining using Machine Learning Techniques

<span title="2020-02-10">2020</span> <i title="Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cj3bm7tgcffurfop7xzswxuks4" style="color: black;">VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE</a> </i> &nbsp;
A lot of data is generated on daily basis which may potentially be useful. This data is generally unstructured and ambiguous to draw a meaning from it.  ...  This paper presents the machine learning techniques for text mining that are useful for spam detection in emails.  ...  This spam detector comes up with 3.11% improvement over the "negative selection algorithm" (NSA) with "particle swarm optimization" (PSO) i.e. NSA-PSO hybrid scheme. [32] to detect textual-spam.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijitee.d1915.029420">doi:10.35940/ijitee.d1915.029420</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ehtowvym6zg5fhbm4xe2rixdoi">fatcat:ehtowvym6zg5fhbm4xe2rixdoi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220319204044/https://www.ijitee.org/wp-content/uploads/papers/v9i4/D1915029420.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b0/1a/b01af866d2962141ba049e9432f7ae68c2e8f7ef.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijitee.d1915.029420"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Efficient E-Mail Spam Detection Strategy Using Genetic Decision Tree Processing with NLP Features

Safaa S. I. Ismail, Romany F. Mansour, Rasha M. Abd El-Aziz, Ahmed I. Taloba, Anastasios D. Doulamis
<span title="2022-03-24">2022</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3wwzxqpotbc73bzpemzybzg7ee" style="color: black;">Computational Intelligence and Neuroscience</a> </i> &nbsp;
This proposed approach provides a way of identifying the e-mail spam in both textual e-mails and speech-enabled e-mails.  ...  This kind of unnecessary and not needed advertisement or threatening mails is considered as spam mails, which usually contain advertisements, promotions of a concern or institution, and so on.  ...  Acknowledgments is project was supported financially by the ScienceUP Program,Academy of Scientific Research and Technology (ASRT), Egypt, Grant No. 6666).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2022/7710005">doi:10.1155/2022/7710005</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/35371228">pmid:35371228</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8970896/">pmcid:PMC8970896</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/oxfhe3dawzclbea3c6xkodv5km">fatcat:oxfhe3dawzclbea3c6xkodv5km</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220530144553/https://downloads.hindawi.com/journals/cin/2022/7710005.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/25/d8/25d8e7afc54ce304e6e3a0fe43af455e406badd8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2022/7710005"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8970896" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Fitness-Based Grey Wolf Optimizer Clustering Method for Spam Review Detection

Sakshi Shringi, H. Sharma, D. L. Suthar, S.P. Tiwari
<span title="2022-04-29">2022</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wpareqynwbgqdfodcyhh36aqaq" style="color: black;">Mathematical Problems in Engineering</a> </i> &nbsp;
The reported results are compared with the existing state-of-art metaheuristic clustering methods like a genetic algorithm (GA), differential evolution (DE), particle swarm optimization (PSO), cuckoo search  ...  Hence, to overcome this issue, a fitness-based Grey Wolf Optimizer (FGWOK) clustering method is proposed in this paper to identify spam reviews.  ...  [32] proposed a model for detecting and preventing fake reviews and spam. Wu et al. [33] developed a hybrid spam filtering approach.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2022/6499918">doi:10.1155/2022/6499918</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yi5o3iehxnetxmt4w4wbbpnyli">fatcat:yi5o3iehxnetxmt4w4wbbpnyli</a> </span>
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Machine learning for email spam filtering: review, approaches and open research problems

Emmanuel Gbenga Dada, Joseph Stephen Bassi, Haruna Chiroma, Shafi'i Muhammad Abdulhamid, Adebayo Olusola Adetunmbi, Opeyemi Emmanuel Ajibuwa
<span title="2019-06-10">2019</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ifjemtdanzevfbtz3nv7p24qjm" style="color: black;">Heliyon</a> </i> &nbsp;
We present a systematic review of some of the popular machine learning based email spam filtering approaches.  ...  The upsurge in the volume of unwanted emails called spam has created an intense need for the development of more dependable and robust antispam filters.  ...  for filtering spam e-mails.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.heliyon.2019.e01802">doi:10.1016/j.heliyon.2019.e01802</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/31211254">pmid:31211254</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6562150/">pmcid:PMC6562150</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/n7qiq4tgnzh7xi6j5c2ah335hy">fatcat:n7qiq4tgnzh7xi6j5c2ah335hy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210526114403/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC6562150&amp;blobtype=pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/54/21/5421c4a23574f3b46a5ad7a46728a210bd78581f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.heliyon.2019.e01802"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6562150" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Email Spam Classification using Hybridized Technique with Feature Selection

Gurwinder Kaur, Rupinder Kaur Gurm
<span title="2016-12-30">2016</span> <i title="Tejass Publisheers"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ezm4lr6uezhi5pfgr6xkdexmgy" style="color: black;">IJARCCE</a> </i> &nbsp;
In this paper we introduce a new Hybrid Technique with bagging to enhance the accuracy and performance of classification of emails into spam and ham.  ...  Spam is a major problem that attacks the existence of electronic mails.  ...  TF-IDF returns high estimation of percentage (i.e output) if the words are common or similar in a single document or in a small clubbing of documents.  Fuzzy Adaptive Particle Swarm Optimization (FAPSO  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17148/ijarcce.2016.51259">doi:10.17148/ijarcce.2016.51259</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yzbeg47d5fhypejukxnwpexqei">fatcat:yzbeg47d5fhypejukxnwpexqei</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180602193354/https://ijarcce.com/upload/2016/december-16/IJARCCE%2059.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/30/dc/30dcd4dbaf584b0249a07c71a6abf2e2a2c842ab.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17148/ijarcce.2016.51259"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Machine Learning Techniques for Spam Detection in Email and IoT Platforms: Analysis and Research Challenges

Naeem Ahmed, Rashid Amin, Hamza Aldabbas, Deepika Koundal, Bader Alouffi, Tariq Shah
<span title="">2022</span> <i title="Hindawi-Wiley"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sdme5pnua5auzcsjgqmqefb66m" style="color: black;">Security and Communication Networks</a> </i> &nbsp;
Among all the techniques developed for detecting and preventing spam, filtering email is one of the most essential and prominent approaches.  ...  Several machine learning and deep learning techniques have been used for this purpose, i.e., Naïve Bayes, decision trees, neural networks, and random forest.  ...  [72] present a paper on spam detection by considering combined particle swarm optimization and neural networks to select features. ey also used SVM for classifying and separating spam. ey compared the  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2022/1862888">doi:10.1155/2022/1862888</a> <a target="_blank" rel="external noopener" href="https://doaj.org/article/27c7fab9297747cba125d6dff8deb631">doaj:27c7fab9297747cba125d6dff8deb631</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fsasq7gapbhd7lv66wwgxveyyq">fatcat:fsasq7gapbhd7lv66wwgxveyyq</a> </span>
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A Survey on Various Machine Learning and Deep Learning Algorithms used for Classification of Spam and Non-Spam Emails

Shahbaz Ahmad Khanday
<span title="2019-04-30">2019</span> <i title="International Journal for Research in Applied Science and Engineering Technology (IJRASET)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hsp44774azcezeyiq4kuzpfh5a" style="color: black;">International Journal for Research in Applied Science and Engineering Technology</a> </i> &nbsp;
One of the solutions to escape from spam emails is to develop a decision based system which can classify the spam and non-spam emails.  ...  These approaches use decision trees to run tests on a given sets of data (emails). After classifying a spam email source a user can navigate, block and report the source of the spam email generator.  ...  Particle swarm optimization (PSO) was applied to recover the random detector generation in the negative selection algorithm (NSA).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22214/ijraset.2019.4568">doi:10.22214/ijraset.2019.4568</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/inz65ryh7jbz7mjdj3n7eq6xnu">fatcat:inz65ryh7jbz7mjdj3n7eq6xnu</a> </span>
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New framework for Improving Random Forest Classification Accuracy

<span title="2022-02-07">2022</span> <i title="The World Academy of Research in Science and Engineering"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/l2ghh6vzxbh45awjxwipefhnue" style="color: black;">International Journal of Emerging Trends in Engineering Research</a> </i> &nbsp;
We used this algorithm to pick the best features that represent a dataset as input for a random forest classifier.  ...  The binary particle swarm optimization algorithm is a powerful algorithm in the field of optimization.  ...  We thank our colleagues who provided insight and expertise that greatly assisted the research.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.30534/ijeter/2022/081022022">doi:10.30534/ijeter/2022/081022022</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ny37a3emlbclpk5b7gcwhb3wgi">fatcat:ny37a3emlbclpk5b7gcwhb3wgi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220423223036/http://www.warse.org/IJETER/static/pdf/file/ijeter081022022.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/86/b0/86b0f22233a32ad1929be72e48fce88c4568fa3c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.30534/ijeter/2022/081022022"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Comparative between optimization feature selection by using classifiers algorithms on spam email

Ghada Rawashdeh, Rabiei Mamat, Zuriana Binti Abu Bakar, Noor Hafhizah Abd Rahim
<span title="2019-12-01">2019</span> <i title="Institute of Advanced Engineering and Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sdt65w3c4jeojd2d4wr6rbkebe" style="color: black;">International Journal of Electrical and Computer Engineering (IJECE)</a> </i> &nbsp;
<span lang="EN-US">Spam mail has become a rising phenomenon in a world that has recently witnessed high growth in the volume of emails. This indicates the need to develop an effective spam filter.  ...  This paper provides a description and evaluation of the effectiveness of three popular classifiers using optimization feature selections, such as Genetic algorithm, Harmony search, practical swarm optimization  ...  The Particle Swarm Optimization (PSO) was developed based on inspiration from the flocking of birds or insects when determining the optimal solution.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11591/ijece.v9i6.pp5479-5485">doi:10.11591/ijece.v9i6.pp5479-5485</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dphzrn4tfvbotkxhusnymcgxmq">fatcat:dphzrn4tfvbotkxhusnymcgxmq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200211205111/http://ijece.iaescore.com/index.php/IJECE/article/download/20539/13396" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c4/e1/c4e162878f050c5b3e33fe7e28d0d8edbd65a681.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11591/ijece.v9i6.pp5479-5485"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

A Study of Bayesian Classifiers Detecting Gratuitous Email Spamming

Garima Jain
<span title="2016-11-25">2016</span> <i title="Foundation of Computer Science"> Communications on Applied Electronics </i> &nbsp;
Most people on the earth utilize email for their own or expert utilize. Email is a successful, quicker and less expensive method for correspondence.  ...  checking and so on. in this paper we survey these procedures for arranging messages into spam or ham ,non-machine learning techniques, such as black/white list, signatures, mail header checking etc. in  ...  They clarify Feature Selection Methods, for example, Information Gain (IG), Gini Index, X2-Statistic, Fuzzy Adaptive Particle Swarm Optimization (FAPSO) and Term Communications on Applied Electronics  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/cae2016652434">doi:10.5120/cae2016652434</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/m2o5lff4onh2jiurzfwjdriima">fatcat:m2o5lff4onh2jiurzfwjdriima</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180602180448/https://www.caeaccess.org/archives/volume6/number2/jain-2016-cae-652434.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f0/57/f057bb51e01daeef79fe18effbb58e80e175da4a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/cae2016652434"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

A Novel Bio-inspired Hybrid Metaheuristic for Unsolicited Bulk Email Detection [chapter]

Tushaar Gangavarapu, C. D. Jaidhar
<span title="">2020</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
In this paper, we present a novel bio-inspired hybrid parallel optimization algorithm (Cuckoo-Firefly-GR), which combines Genetic Replacement (GR) of low fitness individuals with a hybrid of Cuckoo Search  ...  This study presents significant observations from the extensive evaluations on UBE corpora of 3, 844 emails, that underline the efficiency and superiority of our proposed Cuckoo-Firefly-GR over the base  ...  Existing body of literature reports that CS is far more efficient than many other metaheuristic search approaches including particle swarm optimization and GA.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-030-50420-5_18">doi:10.1007/978-3-030-50420-5_18</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vzqjke7g3fcujl2ulghqlwm2qe">fatcat:vzqjke7g3fcujl2ulghqlwm2qe</a> </span>
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