Please use this identifier to cite or link to this item: /library/oar/handle/123456789/136524
Title: SpamCloud : a MapReduce based anti-spam architecture
Authors: Caruana, Godwin
Li, Maozhen
Qi, Hao
Keywords: Spam (Electronic mail)
Spam filtering (Electronic mail)
Internet advertising
Electronic data processing -- Distributed processing
Algorithms
Issue Date: 2010
Publisher: Institute of Electrical and Electronics Engineers
Citation: Caruana, G., Li, M., & Qi, H. (2010, August). SpamCloud: A MapReduce based anti-spam architecture. In 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery (Vol. 6, pp. 3003-3006). IEEE.
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.
URI: https://www.um.edu.mt/library/oar/handle/123456789/136524
Appears in Collections:Scholarly Works - FacEMAMAn

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