Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
C4.5: programs for machine learning
C4.5: programs for machine learning
Communications of the ACM
MetaCost: a general method for making classifiers cost-sensitive
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
An Evaluation of Statistical Approaches to Text Categorization
Information Retrieval
Robust Classification for Imprecise Environments
Machine Learning
A statistical learning learning model of text classification for support vector machines
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Evaluating cost-sensitive Unsolicited Bulk Email categorization
Proceedings of the 2002 ACM symposium on Applied computing
Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval
ECML '98 Proceedings of the 10th European Conference on Machine Learning
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Generating Accurate Rule Sets Without Global Optimization
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Inducing Cost-Sensitive Trees via Instance Weighting
PKDD '98 Proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery
Combining text and heuristics for cost-sensitive spam filtering
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Support vector machines for spam categorization
IEEE Transactions on Neural Networks
Feature engineering for mobile (SMS) spam filtering
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Spam filtering for short messages
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Effective spam filtering: A single-class learning and ensemble approach
Decision Support Systems
Email Spam Filtering: A Systematic Review
Foundations and Trends in Information Retrieval
Multimedia Tools and Applications
The contribution of stylistic information to content-based mobile spam filtering
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
Subword variation in text message classification
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
A behavior-based SMS antispam system
IBM Journal of Research and Development
Application of evolutionary algorithms in detecting SMS spam at access layer
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Subword and spatiotemporal models for identifying actionable information in Haitian Kreyol
CoNLL '11 Proceedings of the Fifteenth Conference on Computational Natural Language Learning
Contributions to the study of SMS spam filtering: new collection and results
Proceedings of the 11th ACM symposium on Document engineering
Content-based mobile spam classification using stylistically motivated features
Pattern Recognition Letters
Short message communications: users, topics, and in-language processing
Proceedings of the 2nd ACM Symposium on Computing for Development
Review: SMS spam filtering: Methods and data
Expert Systems with Applications: An International Journal
SMSAssassin: crowdsourcing driven mobile-based system for SMS spam filtering
Proceedings of the 12th Workshop on Mobile Computing Systems and Applications
Simple SMS spam filtering on independent mobile phone
Security and Communication Networks
Crime scene investigation: SMS spam data analysis
Proceedings of the 2012 ACM conference on Internet measurement conference
A Dispatch-Mediated Communication Model for Emergency Response Systems
ACM Transactions on Management Information Systems (TMIS)
A structure free self-adaptive piecewise hashing algorithm for spam filtering
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Review spam detector with rating consistency check
Proceedings of the 51st ACM Southeast Conference
The curse of 140 characters: evaluating the efficacy of SMS spam detection on android
Proceedings of the Third ACM workshop on Security and privacy in smartphones & mobile devices
Genetic optimized artificial immune system in spam detection: a review and a model
Artificial Intelligence Review
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In the recent years, we have witnessed a dramatic increment in the volume of spam email. Other related forms of spam are increasingly revealing as a problem of importance, specially the spam on Instant Messaging services (the so called SPIM), and Short Message Service (SMS) or mobile spam.Like email spam, the SMS spam problem can be approached with legal, economic or technical measures. Among the wide range of technical measures, Bayesian filters are playing a key role in stopping email spam. In this paper, we analyze to what extent Bayesian filtering techniques used to block email spam, can be applied to the problem of detecting and stopping mobile spam. In particular, we have built two SMS spam test collections of significant size, in English and Spanish. We have tested on them a number of messages representation techniques and Machine Learning algorithms, in terms of effectiveness. Our results demonstrate that Bayesian filtering techniques can be effectively transferred from email to SMS spam.