DocumentCode :
2027970
Title :
SpamCloud: A MapReduce based anti-spam architecture
Author :
Caruana, Godwin ; Li, Maozhen ; Qi, Hao
Author_Institution :
Sch. of Eng. & Design, Brunel Univ., Uxbridge, UK
Volume :
6
fYear :
2010
fDate :
10-12 Aug. 2010
Firstpage :
3003
Lastpage :
3006
Abstract :
From a computing perspective and context, Spam can be described as an Internet scale problem. A potential approach for tackling Spam is consequently via the application of Internet scale algorithms and techniques. A number of approaches exist which are pitched to tackle this type of challenge in such fashion, including MapReduce. This research evaluates the degree of feasibility and applicability of Hadoop´s Map Reduce Framework when applied to spam filtering.
Keywords :
Internet; information filtering; software architecture; unsolicited e-mail; Hadoop map reduce framework; Internet scale algorithms; MapReduce; SpamCloud; antispam architecture; spam filtering; Classification algorithms; Computer architecture; Filtering; Support vector machines; Training; Unsolicited electronic mail; Algorithms; Architectures; Distributed Computing; Performance; Text Processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
Type :
conf
DOI :
10.1109/FSKD.2010.5569282
Filename :
5569282
Link To Document :
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