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A review on mobile SMS spam filtering techniques
Under short messaging service (SMS) spam is understood the unsolicited or undesired
messages received on mobile phones. These SMS spams constitute a veritable nuisance to …
messages received on mobile phones. These SMS spams constitute a veritable nuisance to …
Deep learning to filter SMS Spam
The popularity of short message service (SMS) has been growing over the last decade. For
businesses, these text messages are more effective than even emails. This is because while …
businesses, these text messages are more effective than even emails. This is because while …
An improved global feature selection scheme for text classification
Feature selection is known as a good solution to the high dimensionality of the feature space
and mostly preferred feature selection methods for text classification are filter-based ones. In …
and mostly preferred feature selection methods for text classification are filter-based ones. In …
Applications of machine learning techniques to predict diagnostic breast cancer
This article compares six machine learning (ML) algorithms: Classification and Regression
Tree (CART), Support Vector Machine (SVM), Naïve Bayes (NB), K-Nearest Neighbors …
Tree (CART), Support Vector Machine (SVM), Naïve Bayes (NB), K-Nearest Neighbors …
[HTML][HTML] A discrete hidden Markov model for SMS spam detection
Many machine learning methods have been applied for short messaging service (SMS)
spam detection, including traditional methods such as naïve Bayes (NB), vector space …
spam detection, including traditional methods such as naïve Bayes (NB), vector space …
[PDF][PDF] Boyer moore string-match framework for a hybrid short message service spam filtering technique
Advances in technology and the proliferation of mobile device have continued to advance
the ubiquitous nature of computing alongside their many prowess and improved features it …
the ubiquitous nature of computing alongside their many prowess and improved features it …
[PDF][PDF] Youtube spam detection framework using naïve bayes and logistic regression
YouTube has become a popular social media among the users. Due to YouTube popularity,
it became a platform for spammer to distribute spam through the comments on YouTube …
it became a platform for spammer to distribute spam through the comments on YouTube …
Spam SMS detection for Turkish language with deep text analysis and deep learning methods
With the increasing number of mobile users day by day, the security of mobile phones is an
important issue. SMS service available as standard in all users; advertising makes it a …
important issue. SMS service available as standard in all users; advertising makes it a …
[PDF][PDF] Memetic algorithm for short messaging service spam filter using text normalization and semantic approach
Today's popularity of the short messages services (SMS) has created a propitious
environment for spamming to thrive. Spams are unsolicited advertising, adult-themed or …
environment for spamming to thrive. Spams are unsolicited advertising, adult-themed or …
A new feature extraction framework based on wavelets for breast cancer diagnosis
This paper investigates a pattern recognition framework in order to determine and classify
breast cancer cases. Initially, a two-class separation study classifying normal and abnormal …
breast cancer cases. Initially, a two-class separation study classifying normal and abnormal …