|Author||Caruana, Godwin ♦ Li, Maozhen|
|Source||ACM Digital Library|
|Publisher||Association for Computing Machinery (ACM)|
|Subject Domain (in DDC)||Computer science, information & general works ♦ Data processing & computer science|
|Subject Keyword||Spam filtering ♦ Architectures ♦ Classifiers ♦ Distributed computing ♦ Grid ♦ Peer-to-peer ♦ Semantic|
|Abstract||From just an annoying characteristic of the electronic mail epoch, spam has evolved into an expensive resource and time-consuming problem. In this survey, we focus on emerging approaches to spam filtering built on recent developments in computing technologies. These include peer-to-peer computing, grid computing, semantic Web, and social networks. We also address a number of perspectives related to personalization and privacy in spam filtering. We conclude that, while important advancements have been made in spam filtering in recent years, high performance approaches remain to be explored due to the large scale of the problem.|
|Age Range||18 to 22 years ♦ above 22 year|
|Education Level||UG and PG|
|Learning Resource Type||Article|
|Publisher Place||New York|
|Journal||ACM Computing Surveys (CSUR)|
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