Content based Classification of Emails for Email Filtering and Spam Detection
نویسندگان
چکیده
منابع مشابه
Symbiotic filtering for spam email detection
This paper presents a novel spam filtering technique called Symbiotic Filtering (SF) that aggregates distinct local filters from several users to improve the overall performance of spam detection. SF is an hybrid approach combining some features from both Collaborative (CF) and Content-Based Filtering (CBF). It allows for the use of social networks to personalize and tailor the set of filters t...
متن کاملContent-aware Email Multiclass Classification Categorize Emails According to Senders
Categorize Emails According to Senders Liwei Wang, Li Du s Abstract People nowadays are overwhelmed by tons of coming emails everyday at work or in their daily life. The large quantities of emails keep causing confusions. Not only spam emails are considered to be ‘junk’, but also unwanted emails (e.g. advertisements) cause people to waste time on reading them. Therefore, it becomes urgent to de...
متن کاملDynamic Concept Drift Detection for Spam Email Filtering
Nowadays most of Internet users surfer from spam emails. Filtering technique is one of the effective methods which help us to get rid of the spam emails. One of the problems of filtering is that it cannot detect spam emails accurately when the concepts change or drift happens as time goes by. Therefore, it is required to handle concept drift accurately and quickly. This paper proposes a new alg...
متن کاملA Novel Technique of Email Classification for Spam Detection
Email spam is one of the unsolved problems of the today's Internet, annoying individual users and bringing financial damage to companies. Among the approaches developed to stop spam emails, filtering is a popular and important one. Common uses for email filters include organizing incoming email and computer viruses and removal of spam. As spammers periodically find new ways to bypass spam filte...
متن کاملTwitter Content-Based Spam Filtering
Twitter has become one of the most used social networks. And, as happens with every popular media, it is prone to misuse. In this context, spam in Twitter has emerged in the last years, becoming an important problem for the users. In the last years, several approaches have appeared that are able to determine whether an user is a spammer or not. However, these blacklisting systems cannot filter ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IJARCCE
سال: 2016
ISSN: 2278-1021
DOI: 10.17148/ijarcce.2016.512116