Book ; Online: M\'{e}todos para la Selecci\'{o}n y el Ajuste de Caracter\'{i}sticas en el Problema de la Detecci\'{o}n de Spam
2010
Abstract: The email is used daily by millions of people to communicate around the globe and it is a mission-critical application for many businesses. Over the last decade, unsolicited bulk email has become a major problem for email users. An overwhelming amount of ...
Abstract | The email is used daily by millions of people to communicate around the globe and it is a mission-critical application for many businesses. Over the last decade, unsolicited bulk email has become a major problem for email users. An overwhelming amount of spam is flowing into users' mailboxes daily. In 2004, an estimated 62% of all email was attributed to spam. Spam is not only frustrating for most email users, it strains the IT infrastructure of organizations and costs businesses billions of dollars in lost productivity. In recent years, spam has evolved from an annoyance into a serious security threat, and is now a prime medium for phishing of sensitive information, as well the spread of malicious software. This work presents a first approach to attack the spam problem. We propose an algorithm that will improve a classifier's results by adjusting its training set data. It improves the document's vocabulary representation by detecting good topic descriptors and discriminators. Comment: 5 pages, 1 figure, Workshop de Investigadores en Ciencias de la Computaci\'{o}n, WICC 2010, pp 48-52 |
---|---|
Keywords | Computer Science - Information Retrieval ; Computer Science - Artificial Intelligence ; 68P20 ; H.3.3 |
Subject code | 303 |
Publishing date | 2010-06-01 |
Publishing country | us |
Document type | Book ; Online |
Database | BASE - Bielefeld Academic Search Engine (life sciences selection) |
Full text online
More links
Kategorien
Inter-library loan at ZB MED
Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.