Spam influence on business and economy: theoretical
and experimental studies for textual anti-spam filtering
using mature document processing and naive Bayesian
classifier

QR Code

Spam influence on business and economy: theoretical and experimental studies for textual anti-spam filtering using mature document processing and naive Bayesian classifier

more than 31 trillion spams have been sent in 2009. These spam or “junk mails” can involve various kinds of messages such as commercial advertising, pornography, viruses, doubtful product, get rich quick scheme or quasi legal services. In this paper, a direct attention has been paid to the text spam...

Full description

Bibliographic Details
Main Authors:	Zaidan , A. A., Ahmed, N. N., Abdul Karim, Hazerul, Alam, Gazi Mahabubul, Zaidan, Bilal Bahaa
Format:	Article
Language:	English
Published:	Academic Journals 2011
Subjects:	HD9000 Special industries and trades
Online Access:	http://irep.iium.edu.my/18741/ http://irep.iium.edu.my/18741/1/Zaidan_et_al.pdf

Similar Items

Definition of Spam 2.0: New Spamming Boom
by: Hayati, Pedram, et al.
Published: (2010)

Youtube spam detection framework using naïve bayes and logistic regression
by: Nur’Ain Maulat, Samsudin, et al.
Published: (2019)

Youtube spam detection framework using naïve bayes and logistic regression
by: Maulat Samsudin, Nur’Ain, et al.
Published: (2019)

Spam filtering using bayesian technique based on independent feature selection
by: Mohamad, Masurah
Published: (2006)

Spam 2.0
by: Potdar, Vidyasagar, et al.
Published: (2012)

Multi-classifier classification of spam email on a ubiquitous multi-core architecture
by: Islam, Md., et al.
Published: (2008)

On the multi-agent learning neural and Bayesian methods in skin detector and pornography classifier: an automated anti-pornography system
by: Zaidan , A. A., et al.
Published: (2014)

Addressing the new generation of spam (Spam 2.0) through Web usage models
by: Hayati, Pedram
Published: (2011)

Evaluation of spam detection and prevention frameworks for email and image spam - a state of art
by: Hayati, Pedram, et al.
Published: (2008)

Toward spam 2.0: an evaluation of web 2.0 anti-spam methods
by: Hayati, Pedram, et al.
Published: (2009)

GA-based feature subset selection in a spam/non-spam detection system
by: Behjat, Amir Rajabi, et al.
Published: (2012)

Rejecting spam during SMTP sessions
by: Marsono, Muhammad N., et al.
Published: (2007)

The changing nature of spam 2.0
by: Potdar, Vidyasagar, et al.
Published: (2012)

Spam 2.0: The Problem Ahead
by: Potdar, Vidyasagar, et al.
Published: (2010)

Investigating email users behaviour against spam: a proposed theoretical framework
by: Bujang, Yanti Rosmunie, et al.
Published: (2012)

Deep neural networks for spam classification
by: Kasmani, Mohamed Khizer
Published: (2013)

Spam 2.0 state of the art
by: Hayati, Pedram, et al.
Published: (2013)

Spam 2.0 state of the art
by: Hayati, P., et al.
Published: (2012)

An Experimental Study on Spam Detection Algorithms
by: Singh, Ashutosh Kumar, et al.
Published: (2011)

Awareness, Knowledge and Perception of Online Spam
by: Mohd Ridzuan, Farida, et al.
Published: (2013)

Methods for demoting and detecting Web spam
by: Goh, Kwang Leng
Published: (2013)

Spam and open relay blocking system
by: Nor Hafizah, Khadzir
Published: (2005)

Semantic feature selection for spam filtering
by: Azlina, Narawi
Published: (2010)

Artificial neural network for spam filtering :classification and analysis of spam and non-spam using multi-layer perceptron through back-propagation learning algorithm and radial basis function network
by: Gan, Swat Ngo
Published: (2004)

On multi-agent learning neural and Bayesian methods in skin detector and pornography classifier: an automated anti-pornography system
by: Zaidan, Aws Alaa, et al.
Published: (2014)

Link-based spam algorithms in adversarial information retrieval
by: Leng, A., et al.
Published: (2012)

Factors Involved in Estimating Cost of Email Spam
by: Ridzuan, Farida, et al.
Published: (2010)

Incorporating weight properties in detection of web spam
by: Goh, Kwang Leng Alex, et al.
Published: (2012)

Email spam filtering technique: challenges and solutions
by: Md Yasin, Sharifah, et al.
Published: (2023)

XAIRF-WFP: a novel XAI-based random forest classifier for advanced email spam detection
by: Bouke, Mohamed Aly, et al.
Published: (2024)

A Review on mobile SMS Spam filtering techniques
by: Abdulhamid, Shafi'i Muhammad, et al.
Published: (2017)

Detecting collusive spamming activities in community question answering
by: Liu, Yuli, et al.
Published: (2017)

A survey of awareness, knowledge and perception of online spam
by: Ridzuan, F., et al.
Published: (2012)

Detecting computer generated images for image spam filtering
by: Muataz Hazza, Zubaidah, et al.
Published: (2012)

An ensemble feature selection method to detect web spam
by: Oskouei, Mahdieh Danandeh, et al.
Published: (2018)

Link analysis algorithms to handle hanging and spam pages
by: Patchmuthu, Ravikumar
Published: (2014)

Key Parameters in Identifying Cost of Spam 2.0
by: Ridzuan, Farida, et al.
Published: (2010)

Detecting opinion spams through supervised boosting approach
by: Mohamad, Hazim, et al.
Published: (2018)

A behavior based algorithm to detect spam bots
by: Zamil, Mohammed Fadhil
Published: (2009)

Link-based web spam detection using weight properties
by: Goh, K., et al.
Published: (2014)