Spam Recognition Based on Bayesian Classification

Autor:	Xiang-Hui Zhao, Yang-Ping Zhang, Jun-Kai Yi
Rok vydání:	2017
Předmět:	A priori probability Computer science business.industry Pattern recognition Machine learning computer.software_genre Naive Bayes classifier ComputingMethodologies_PATTERNRECOGNITION Constant (computer programming) Bag-of-words model Range (statistics) Artificial intelligence business computer
Zdroj:	DEStech Transactions on Computer Science and Engineering.
ISSN:	2475-8841
DOI:	10.12783/dtcse/aice-ncs2016/5707
Popis:	Based on Bayesian classification algorithm principle and implementation, propose an improved method of the algorithm. Firstly, instead of constant probability of spam, actual priori probability is used. Secondly, the selective range and rule of token is improved. Finally, add URLs and images into detection content. A mail recognizer based on improved Bayesian classification is designed. The experiment result shows that the improved Bayesian classification algorithm works well in practice.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5b025485efa8b4bf147dc6b23057da77 https://doi.org/10.12783/dtcse/aice-ncs2016/5707 Zobrazit plný text záznamu