VGI and crowdsourced data credibility analysis using spam email detection techniques
نویسندگان
چکیده
منابع مشابه
Email Spam Detection Using Customized SimHash Function
E-mail communication is a narrative challenging in present days, because a problem can be done in that communication from one to other emails process generation. The problem is spam mail combination in original mail interaction. This is the major task for sending information from one to other persons, if it important to that particular person. So to solve these problems effectively traditionall...
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Unsolicited emails, known as spam, are one of the fast growing and costly problems associated with the Internet today. Among the many proposed solutions, a technique using Bayesian filtering is considered as the most effective weapon against spam. Bayesian filtering works by evaluating the probability of different words appearing in legitimate and spam mails and then classifying them based on t...
متن کاملEmail classification for Spam Detection using Word Stemming
Unsolicited emails, known as spam, are one of the fast growing and costly problems associated with the Internet today. Among the many proposed solutions, a technique using Bayesian filtering is considered as the most effective weapon against spam. Bayesian filtering works by evaluating the probability of different words appearing in legitimate and spam mails and then classifying them based on t...
متن کاملEmail classification for Spam Detection using Word Stemming
Unsolicited emails, known as spam, are one of the fast growing and costly problems associated with the Internet today. Among the many proposed solutions, a technique using Bayesian filtering is considered as the most effective weapon against spam. Bayesian filtering works by evaluating the probability of different words appearing in legitimate and spam mails and then classifying them based on t...
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ژورنال
عنوان ژورنال: International Journal of Digital Earth
سال: 2017
ISSN: 1753-8947,1753-8955
DOI: 10.1080/17538947.2017.1341558