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https://www.researchgate.net/publication/221216827_An_Innovative_Spam_Filtering_Model_Based_on_Support_Vector_Machine
In [10], the method Spam Filtering Model Based on Support Vector Machine (SVM) is proposed. A SVM is a new learning algorithm which has some attractive features such as eliminating the need for ...
https://www.infona.pl/resource/bwmeta1.element.ieee-art-000001631493
In this paper, an innovative and intelligent spam filtering model has been proposed based on support vector machine (SVM). This model combines both linear and nonlinear SVM techniques where linear SVM performs better for text based spam classification that share similar characteristics.
https://www.researchgate.net/publication/261163478_Research_on_spam_filtering_technology_using_Support_Vector_Machine
In this paper, an innovative and intelligent spam filtering model has been proposed based on ... [Show full abstract] support vector machine (SVM). This model combines both linear and nonlinear ...
http://dro.deakin.edu.au/view/DU:30006016
An innovative spam filtering model based on support vector machine Islam, Md. Rafiqul, Chowdhury, Morshed and Zhou, Wanlei 2005, An innovative spam filtering model based on support vector machine, in CIMCA 2005 jointly with IAWTIC 2005 : proceedings, IEEE Computer Society, Los Alamitos, Calif., pp. 348-353.
http://interscience.in/SpIss_ijcct_accta_2010vol1_nol2/CS_Paper8.pdf
Spam Filtering using Support Vector Machine kernel function are [5]: linear kernel function, polynomial kernel function, radial basis function and sigmoid function: 4.2.1 Linear kernel function The Linear kernel is the simplest kernel function. It is given by the inner product <x,y> plus an optional constant c. Kernel algorithms using a linear ...Cited by: 9
http://www.ace.tuiasi.ro/users/103/3_F3_10_Lazurca.pdf
AN E-MAIL FILTERING AGENT BASED ON SUPPORT VECTOR MACHINES BY CONSTANTIN LAZURCĂ and FLORIN LEON Abstract. E-mail filtering has recently become an important issue due to the increasing popularity of the electronic mail communication. Therefore, there is a constant need to improve the detection of unsolicited messages, or spam.
https://portal.ikw.uni-osnabrueck.de/~PICS/PICSvol8_2004_KaulEtAl.pdf
filtering spam e-mail. Support vector machines have several advantages in comparison to other machine learning approaches and have been proven to be an efficient tool for classification of linguistically preprocessed text. A software program has been developed that learns the individual classification criteria of its user and filters e-mail accordingly. The complete process is fully autonomous, based solely on sample e-mails.
https://mgpullen.wordpress.com/2016/09/16/spam-filtering-using-a-support-vector-machine/
Sep 16, 2016 · In this post I will discuss my implementation of a support vector machine (SVM) based binary classification system for spam filtering. In future posts I plan to compare the performance of this technique with other classification algorithms such as logistic regression and neural networks. Following on from exercise six of the Stanford University Machine Learning…
https://link.springer.com/chapter/10.1007/978-3-540-72905-1_41
In this paper, an adaptive spam filtering model has been proposed based on Machine learning (ML) algorithms which will get better accuracy by reducing FP problems. This model consists of individual and combined filtering approach from existing well known ML algorithms.Cited by: 17
https://www.sciencedirect.com/science/article/pii/S1084804508000489
Classification algorithms such as support vector machine (SVM), Naïve Bayes (NB) and Boosting, etc., are used for content-based spam filtering. Each algorithm can be viewed as searching for the most appropriate classifier in a search space that contains all the classifiers it can learn.Cited by: 21
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