منابع مشابه
Mitigating E-Mail Threats - A Web Content Based Application
The World Wide Web is a very powerful and interactive medium and its surveillance is unavoidable for information dissemination. Extracting valuable information from the vast unstructured data is a challenging and critical issue. Web content mining plays an important role in solving these issues. The applications of WWW are widespread and one among it is E-Mail communication. Due to its simple a...
متن کاملA Neural Network Based Approach to Automated E-Mail Classification
In this paper we present a neural network based system for automated e-mail filing into folders and antispam filtering. The experiments show that it is more accurate than several other techniques. We also investigate the effects of various feature selection, weighting and normalization methods, and also the portability of the anti-spam filter across different users.
متن کاملVoting-based Classification for E-mail Spam Detection
The problem of spam e-mail has gained a tremendous amount of attention. Although entities tend to use e-mail spam filter applications to filter out received spam e-mails, marketing companies still tend to send unsolicited emails in bulk and users still receive a reasonable amount of spam e-mail despite those filtering applications. This work proposes a new method for classifying emails into spa...
متن کاملSpam Classification Based on E-Mail Path Analysis
Email spam is the most effective form of online advertising. Unlike telephone marketing, email spamming does not require huge human or financial resources investment. Most existing spam filtering techniques concentrate on the emails’ content. However, most spammers obfuscate their emails’ content to circumvent content-based spam filters. An integrated solution for restricting spam emails is nee...
متن کاملA Comparative Study of Classification Based Personal E-mail Filtering
This paper addresses personal E-mail filtering by casting it in the framework of text classification. Modeled as semi-structured documents, Email messages consist of a set of fields with predefined semantics and a number of variable length free-text fields. While most work on classification either concentrates on structured data or free text, the work in this paper deals with both of them. To p...
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ژورنال
عنوان ژورنال: International Journal of Scientific Research in Science, Engineering and Technology
سال: 2021
ISSN: 2394-4099,2395-1990
DOI: 10.32628/ijsrset218323