Paper Info
Title
Effective scheduling strategies for boosting performance on rule-based spam filtering frameworks
Abstract
Despite the enormous importance of e-mail to current worldwide communication, the increase of spam deliveries has had a significant adverse effect for all its users. In order to adequately fight spam, both the filtering industry and scientific community have developed and deployed the fastest and most accurate filtering techniques. However, the increasing volume of new incoming messages needing classification together with the lack of adequate support for anti-spam services on the cloud, make filtering efficiency an absolute necessity. In this context, and given the extensive utilization and increasing significance of rule-based filtering frameworks for the anti-spam domain, this work studies and analyses the importance of both existing and novel scheduling strategies to make the most of currently available anti-spam filtering techniques. Results obtained from the experiments demonstrated that some scheduling alternatives resulted in time savings of up to 26% for filtering messages, while maintaining the same classification accuracy.
Year
DOI
Venue
2013
10.1016/j.jss.2013.07.036
Journal of Systems and Software
Keywords
Field
DocType
scheduling alternative,anti-spam service,rule-based spam,spam delivery,increasing volume,enormous importance,classification accuracy,anti-spam domain,available anti-spam,absolute necessity,novel scheduling strategy,effective scheduling strategy
Data mining,Rule-based system,Scheduling (computing),Computer science,Filter (signal processing),Real-time computing,Boosting (machine learning),Cloud computing
Journal
Volume
Issue
ISSN
86
12
0164-1212
Citations 
PageRank 
References 
8
0.59
7
Authors
4
Name
Order
Citations
PageRank
D. Ruano-Ordás180.59
J. Fdez-Glez2263.28
F. Fdez-Riverola323515.56
José Ramon Méndez425417.69