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 …
A review of soft techniques for SMS spam classification: Methods, approaches and applications
O Abayomi-Alli, S Misra, A Abayomi-Alli… - … Applications of Artificial …, 2019 - Elsevier
Background: The easy accessibility and simplicity of Short Message Services (SMS) have
made it attractive to malicious users thereby incurring unnecessary costing on the mobile …
made it attractive to malicious users thereby incurring unnecessary costing on the mobile …
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 …
A comparative study of spam SMS detection using machine learning classifiers
M Gupta, A Bakliwal, S Agarwal… - 2018 eleventh …, 2018 - ieeexplore.ieee.org
With technological advancements and increment in content based advertisement, the use of
Short Message Service (SMS) on phones has increased to such a significant level that …
Short Message Service (SMS) on phones has increased to such a significant level that …
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 …
A fog-augmented machine learning based SMS spam detection and classification system
Smart cities and societies are driving unprecedented technological and socioeconomic
growth in everyday life albeit making us increasingly vulnerable to infinitely and …
growth in everyday life albeit making us increasingly vulnerable to infinitely and …
An effective model for SMS spam detection using content-based features and averaged neural network
In recent years, there has been considerable interest among people to use short message
service (SMS) as one of the essential and straightforward communications services on …
service (SMS) as one of the essential and straightforward communications services on …
Klasifikasi Sms Spam Menggunakan Support Vector Machine
A Setiyono, HF Pardede - Jurnal Pilar Nusa Mandiri, 2019 - ejournal.nusamandiri.ac.id
It is now common for a cellphone to receive spam messages. Great number of received
messages making it difficult for human to classify those messages to Spam or no Spam. One …
messages making it difficult for human to classify those messages to Spam or no Spam. One …
Spam detection in short message service using natural language processing and machine learning techniques
A Ora - 2020 - norma.ncirl.ie
As the usage of mobile phones increased, the use of Short Message Service increased
significantly. Due to the lower costs of text messages, people started using it for promotional …
significantly. Due to the lower costs of text messages, people started using it for promotional …
[PDF][PDF] Empirical study of feature selection methods for high dimensional data
S DeepaLakshmi… - Indian Journal …, 2016 - sciresol.s3.us-east-2.amazonaws …
Abstract Background/Objectives: Feature Selection is a process of selecting features that are
relevant which is used in model constructionbyremovingredundant, irrelevantandnoisydata. AtypicalapplicationofTextMiningisclassificati …
relevant which is used in model constructionbyremovingredundant, irrelevantandnoisydata. AtypicalapplicationofTextMiningisclassificati …