SMS spam filtering: Methods and data
- 1 August 2012
- journal article
- Published by Elsevier BV in Expert Systems with Applications
- Vol. 39 (10), 9899-9908
- https://doi.org/10.1016/j.eswa.2012.02.053
Abstract
No abstract availableKeywords
This publication has 25 references indexed in Scilit:
- Contributions to the study of SMS spam filteringPublished by Association for Computing Machinery (ACM) ,2011
- LIBSVMACM Transactions on Intelligent Systems and Technology, 2011
- Information credibility on twitterPublished by Association for Computing Machinery (ACM) ,2011
- Who is tweeting on TwitterPublished by Association for Computing Machinery (ACM) ,2010
- Detecting and characterizing social spam campaignsPublished by Association for Computing Machinery (ACM) ,2010
- Spam Filter for Short Messages Using WinnowPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2008
- Spam filtering for short messagesPublished by Association for Computing Machinery (ACM) ,2007
- Research on a Naive Bayesian Based Short Message Filtering SystemPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2006
- Leveraging social networks to fight spamComputer, 2005
- Concept Decompositions for Large Sparse Text Data Using ClusteringMachine Learning, 2001