On Term Weighting for Spam SMS Filtering
نویسندگان
چکیده
منابع مشابه
SMS spam filtering: Methods and data
Mobile or SMS spam is a real and growing problem primarily due to the availability of very cheap bulk pre-pay SMS packages and the fact that SMS engenders higher response rates as it is a trusted and personal service. SMS spam filtering is a relatively new task which inherits many issues and solutions from email spam filtering. However it poses its own specific challenges. This paper motivates ...
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The Short Message Service (SMS) have an important economic impact for end users and service providers. Spam is a serious universal problem that causes problems for almost all users. Several studies have been presented, including implementations of spam filters that prevent spam from reaching their destination. Naïve Bayesian algorithm is one of the most effective approaches used in filtering te...
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The growth of mobile phone users has lead to a dramatic increasing of SMS spam messages. Recent reports clearly indicate that the volume of mobile phone spam is dramatically increasing year by year. In practice, fighting such plague is difficult by several factors, including the lower rate of SMS that has allowed many users and service providers to ignore the issue, and the limited availability...
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Short Message Service (SMS) traffic is increasing day by day and trillions of sms are sent and received by billions of users every day. Spam messages are also increasing in same proportionate. Numbers of recent advancements are taking place in the field of sms spam detection and filtering. The objective of this work is twofold, first is to identify and classify spam messages from the collection...
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In the recent years spam became as a big problem of Internet and electronic communication. There developed a lot of techniques to fight them. In this paper the overview of existing e-mail spam filtering methods is given. The classification, evaluation, and comparison of traditional and learning-based methods are provided. Some personal anti-spam products are tested and compared. The statement f...
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ژورنال
عنوان ژورنال: Sakarya University Journal of Computer and Information Sciences
سال: 2020
ISSN: 2636-8129
DOI: 10.35377/saucis.03.03.735463