| Autor: |
Gabriela Guilherme de Almeida, Robson Augusto Siscoutto, Ronaldo Toshiaki Oikawa |
| Jazyk: |
portugalština |
| Rok vydání: |
2016 |
| Předmět: |
|
| Zdroj: |
Colloquium Exactarum, Vol 08, Iss 01, Pp 62-75 (2016) |
| Druh dokumentu: |
article |
| ISSN: |
2178-8332 |
| DOI: |
10.5747/ce.2016.v08.n1.e149 |
| Popis: |
Along with the popularity and ease of access from the internet, there were some problems and spam is one of the most difficult to be solved. Thus, the study of such messages becomes essential for the evolution of control tools. The use of Bayesian statistical methods contributes to the identification and control of receiving spam, however, such filters generate vast amounts of highly complex statistical data to be analyzed. In this way, the work proposed in this article aims to study and the applicability of Bayesian statistical calculations in the recognition of spam in email and display the data generated by this analysis in 3D visual representations organized intuitively and interactively, facilitating the decisionmaking process. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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