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3-Tier hybrid approach for SMS filtering
2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014Short Message Service is one of the most using services in mobile phones. In daily life, several spam messages, which could disturb mobile phone users, are received frequently. Unwanted messages could be delivered for advertisement, annoucement of promotional events and/or only for disturbing people.
ARSLAN, Sumeyra Nur +2 more
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A Vector Space Model based spam SMS filter
2016 11th International Conference on Computer Science & Education (ICCSE), 2016Along with the popularity of telecommunication and mobile phone, short message (SMS) enters almost every human life. Meanwhile, each mobile phone client suffers from the harass of spam SMS. As the SMS service provider who is in charge of all industry SMS in east China, Dahan Tricom Corporation always invest much in anti spam SMS research. Recent years,
Wei Li, Sisheng Zeng
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A Junk SMS Filtering Application Based on Bayes Algorithm
Applied Mechanics and Materials, 2014First, this paper introduces some technology about the junk SMS filtering, analyzing the principle and model characteristics of junk SMS filtering, which are based on the Bayes Algorithm. It also gives the Simulation results and the framework process of Bayesian filter.
Fang Fang Jing, Miao Cai
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Real-Time SMS Filtering System Based on BM Algorithm
2010 International Conference on Management and Service Science, 2010Short Message(also called SMS) is the product of modern mobile communication, which provides more convenience and options for communication. The unwanted advertisements sent with SMS significantly interferes the normal communication among costumers which should have been guaranteed by the mobile service providers.
Jun Liu, Haifeng Ke, Gaoyan Zhang
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Thai-English spam SMS filtering
2010 16th Asia-Pacific Conference on Communications (APCC), 2010SMS spam filtering for Thai-English language has not previously been studied and implemented. Two methods of spam SMS message filtering objected to filter spam SMS messages written in Thai and English have been studied and implemented. The first method simply uses current spam English message filtering and then upgrades for Thai language support.
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Sampling of Mass SMS Filtering Algorithm Based on Frequent Time-domain Area
2010 Third International Conference on Knowledge Discovery and Data Mining, 2010With the rapid growth of the SMS, the filtration to all messages has been unable to meet the real-time processing requirement. In this paper, we propose a sampling of mass SMS filtering algorithm based on frequent time-domain area to solve this problem. First, we collect the long-running system log.
null Xia Hu, null Fu Yan
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Supervised Dual-PLSA for Personalized SMS Filtering
2009Because users hardly have patience of affording enough labeled data, personalized filter is expected to converge much faster. Topic model based dimension reduction can minimize the structural risk with limited training data. In this paper, we propose a novel supervised dual-PLSA which estimate topics with many kinds of observable data, i.e. labeled and
Wei-ran Xu +4 more
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Spam SMS Filtering using Recurrent Neural Network and Long Short Term Memory
2019 4th International Conference on Information Systems and Computer Networks (ISCON), 2019SMS is the abbreviation for Short Messaging Service which uses standard protocols for mobile devices to exchange information via short text messages. Today SMS's are an easy, inexpensive and widely accepted way to communicate rather than phone calls. Spam can be described as random unsolicited messages sent at large without any authorization from the ...
Arijit Chandra, Sunil Kumar Khatri
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Take Control of Your SMSes: Designing an Usable Spam SMS Filtering System
2012 IEEE 13th International Conference on Mobile Data Management, 2012Short Message Service (SMS) is one of the most frequently used services in the mobile phones, next to calls. In developing countries like India, SMS is the cheapest mode of communication. The advantage of this fact is exploited by the advertising companies to reach masses. The unsolicited SMS messages (a.k.a.
Kuldeep Yadav +3 more
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Nepali SMS filtering Using Decision Trees, Neural Network and Support Vector Machine
2018 International Conference on Advances in Computing, Communication Control and Networking (ICACCCN), 2018Automated spam detection and filtering is the task of categorizing Short Massage Services (SMS) into predefined category: Spam and Non-Spam, based on their content with the models learned from the training SMS dataset. This work evaluates some of the most widely used machine learning techniques- Decision Tree, Support Vector Machine (SVM) and Neural ...
Tej Bahadur Shahi, Subarna Shakya
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