Results 11 to 20 of about 2,780,368 (218)
MapReduce based RDF assisted distributed SVM for high throughput spam filtering [PDF]
, 2013 This thesis was submitted for the degree of Doctor of Philosophy and was awarded by Brunel UniversityElectronic mail has become cast and embedded in our everyday lives. Billions of legitimate emails are sent on a daily basis.
Caruana, Godwin
core +7 more sources
Intent Arabic text categorisation based on different machine learning and term frequency
IET Networks, EarlyView., 2022 Abstract The complexity of Internet network configurations has made managing networks a complicated undertaking. Intent‐Based Networking (IBN) is a potential solution to this issue. In contrast to conventional networks, where a concrete description of the settings typically conveys a network administrator's goal kept on each device, an administrator's ...
Mohammad Fadhil Mahdi +1 more
wiley +1 more source
Trigonometric words ranking model for spam message classification
IET Networks, EarlyView., 2022 Abstract The significant increase in the volume of fake (spam) messages has led to an urgent need to develop and implement a robust anti‐spam method. Several of the current anti‐spam systems depend mainly on the word order of the message in determining the spam message, which results in the system's inability to predict the correct type of message when
Suha Mohammed Hadi +7 more
wiley +1 more source
IEEE Access, 2023 Every time a well-known public figure posts something on social media, it encourages many users to comment. Unfortunately, not all comments are relevant to the post. Some are spam comments which can disrupt the overall flow of information.
Antonius Rachmat Chrismanto +2 more
doaj +1 more source
SOCIAL MEDIA SPAM DETECTION USING DIFFERENT TEXT FEATURE SELECTION TECHNIQUE AND MACHINE LEARNING
ICTACT Journal on Soft Computing, 2022 The messaging systems and social media is popular and has essential contributions to our social and professional life. Similarly, Spam is a part of the messaging system and social media. In social media, spam is found in various places (i.e. in posts, in
Anubha Sharma, Manoj Ramaiya
doaj +1 more source
IEEE Access, 2021 With the widespread use of social networks, spam messages against them have become a major issue. Spam detection methods can be broadly divided into expert-based and machine learning-based detection methods.
Jaeun Choi, Chunmi Jeon
doaj +1 more source
A Collaborative Approach for Spam Detection [PDF]
2010 2nd International Conference on Evolving Internet, 2010 Electronic mail is nowadays one of the most important Internet networking services. However, there are still many challenges that should be faced in order to provide a better e-mail service quality, such as the growing dissemination of unsolicited e-mail (spam) over the Internet.
Sousa, Pedro +4 more
openaire +2 more sources
, 2005 With the advent of the electronic mail system in the 1970s, a new opportunity for direct marketing using unsolicited electronic mail became apparent.
Levene, M. +3 more
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BlogForever D2.5: Weblog spam filtering report and associated methodology [PDF]
, 2013 This report is written as a first attempt to define the BlogForever spam detection strategy. It comprises a survey of weblog spam technology and approaches to their detection.
Kasioumis, Nikolaos +13 more
core +1 more source
Spam Detection Based on Adaptive Classifier [PDF]
Jisuanji gongcheng, 2018 The form of spam is changeable,easy to disguise as a normal mail and bypass the test,and the new spam has higher detection rate.To solve this problem,based on the idea of negative selection and Support Vector Machine(SVM),a new adaptive classifier is ...
CHEN Long,LIANG Yiwen,TAN Chengyu
doaj +1 more source