An Agent Model using Naïve Bayesian for Email Classification
نویسندگان
چکیده
منابع مشابه
An Agent Model using Naïve Bayesian for Email Classification
it is important to carry out email classification to determine its topic [2],[3],[4],[5],[6],[7],[8]. This paper is aimed at making new agents model to determine the email topic by classifying them based on the subject and content autonomously. This domain model is university archiving. The email topic is the keyword of the job description in the university’s units. The email target, except the...
متن کاملSpam Email Classification using an Adaptive Ontology
Email has become one of the fastest and most economical forms of communication. However, the increase of email users has resulted in the dramatic increase of spam emails during the past few years. As spammers always try to find a way to evade existing filters, new filters need to be developed to catch spam. Ontologies allow for machine-understandable semantics of data. It is important to share ...
متن کاملAn intelligent classification model for phishing email detection
Phishing attacks are one of the trending cyber-attacks that apply socially engineered messages that are communicated to people from professional hackers aiming at fooling users to reveal their sensitive information, the most popular communication channel to those messages is through users’ emails. This paper presents an intelligent classification model for detecting phishing emails using knowle...
متن کاملAn Agent Based Classification Model
The major function of this model is to access the UCI Wisconsin Breast Cancer data-set[1] and classify the data items into two categories, which are normal and anomalous. This kind of classification can be referred as anomaly detection, which discriminates anomalous behaviour from normal behaviour in computer systems. One popular solution for anomaly detection is Artificial Immune Systems (AIS)...
متن کاملEmail Folder Classification using Threads
While automatic classification of email is obviously a useful task to study, it is not obvious how to best utilize the rich metadata specific to email to improve the quality of the classification. In this paper, we propose a simple algorithm for using email threads to improve the precision of a personal email assistant’s automatic folder classification. We evaluate the approach on a large email...
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: International Journal of Computer Applications
سال: 2016
ISSN: 0975-8887
DOI: 10.5120/ijca2016909393