We present a thorough investigation on using machine learning to construct effective personalized anti-spam filters. The investigation includes four learning algorithms, Naive Bayes, Flexible Bayes, LogitBoost, and Support Vector Machines, and four datasets, constructed from the mailboxes of different users. We discuss the model and search biases of the learning algorithms, along with worst-cas...

Relationship between alternative e-mail organizational strategies and time required for the strategy is modeled mathematically at the keystroke level (for five users). Author separates e-mail user types into Beginner, Frequent Filer, Spring Clearner, and No Filer, and found that (a) if stored messages are less than 100, having no folders is efficient; (b) zero to three folders are less efficien...

A considerable body of research has documented the negative effects of job burnout on employees and their organizations, emphasizing the importance of the identification of early signs of the phenomenon for the purposes of prevention and intervention. However, such timely identification is difficult due to the time and cost of assessing the burnout levels of all employees in an organization usi...

Most e-mail readers spend a significant amount of time regularly deleting junk e-mail (spam) messages, which are a part of marketing campaigning efforts of various companies wherein users normally signed in and it also results in increasing volume of storage space and consumes network bandwidth. A challenge, therefore, rests with the developers and improvement of automatic classifiers that can ...

Status of this Memo This memo provides information for the Internet community. This memo does not specify an Internet standard of any kind. Distribution of this memo is unlimited. Abstract This document presents a checklist to facilitate evaluation of MIME capable User Agents. Access to a MIME test-responder, that generates test-messages is described.

With the advent of Information society false and inaccurate information represents one of the major problems. Hoaxes and unsolicited commercial e-mail messages (SPAM) are an important example of such information. A conceptual solution together with the developed system for automatic hoax recognition is presented. Hoax recognition is done in several parallel steps to increase system accuracy and...

Using Psychological Reactance as the framework, this study sought to understand consumer attitudes towards two major direct marketing techniques: unsolicited commercial e-mail and postal direct mail. In particular, audience perceptions of advertising intrusiveness, perceived loss of control (as conceptualized by Psychological Reactance), and irritation regarding the direct marketing techniques ...

This position paper discusses the use of symbiotic filtering, a novel distributed data mining approach that combines contentbased and collaborative filtering for spam detection.