Article

Challenges of the Email Domain for Text Classification

Authors:

Jake D. Brutlag,

Christopher MeekAuthors Info & Claims

ICML '00: Proceedings of the Seventeenth International Conference on Machine Learning

Pages 103 - 110

Published: 29 June 2000 Publication History

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Zhang AGarcia-Pueyo LWendt JNajork MBroder ABarrett RCummings RAgichtein EGabrilovich E(2017)Email Category PredictionProceedings of the 26th International Conference on World Wide Web Companion10.1145/3041021.3055166(495-503)Online publication date: 3-Apr-2017
https://dl.acm.org/doi/10.1145/3041021.3055166
Zhang WAhmed AYang JJosifovski VSmola ACao LZhang CJoachims TWebb GMargineantu DWilliams G(2015)Annotating Needles in the Haystack without LookingProceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining10.1145/2783258.2788580(2257-2266)Online publication date: 10-Aug-2015
https://dl.acm.org/doi/10.1145/2783258.2788580
Grbovic MHalawi GKarnin ZMaarek YLi JWang XGarofalakis MSoboroff ISuel TWang M(2014)How Many Folders Do You Really Need?Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management10.1145/2661829.2662018(869-878)Online publication date: 3-Nov-2014
https://dl.acm.org/doi/10.1145/2661829.2662018
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Index Terms

Challenges of the Email Domain for Text Classification
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Language resources
  2. Machine learning
    1. Learning paradigms
      1. Supervised learning
        Supervised learning by classification
    2. Machine learning approaches
      1. Classification and regression trees
2. Information systems
  1. World Wide Web
    1. Web applications
      1. Internet communications tools
        Email

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Published In

ICML '00: Proceedings of the Seventeenth International Conference on Machine Learning

June 2000

1208 pages

ISBN:1558607072

Editor:
Pat Langley

Publisher

Morgan Kaufmann Publishers Inc.

San Francisco, CA, United States

Publication History

Published: 29 June 2000

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Zhang AGarcia-Pueyo LWendt JNajork MBroder ABarrett RCummings RAgichtein EGabrilovich E(2017)Email Category PredictionProceedings of the 26th International Conference on World Wide Web Companion10.1145/3041021.3055166(495-503)Online publication date: 3-Apr-2017
https://dl.acm.org/doi/10.1145/3041021.3055166
Zhang WAhmed AYang JJosifovski VSmola ACao LZhang CJoachims TWebb GMargineantu DWilliams G(2015)Annotating Needles in the Haystack without LookingProceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining10.1145/2783258.2788580(2257-2266)Online publication date: 10-Aug-2015
https://dl.acm.org/doi/10.1145/2783258.2788580
Grbovic MHalawi GKarnin ZMaarek YLi JWang XGarofalakis MSoboroff ISuel TWang M(2014)How Many Folders Do You Really Need?Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management10.1145/2661829.2662018(869-878)Online publication date: 3-Nov-2014
https://dl.acm.org/doi/10.1145/2661829.2662018
Costa GOrtale RRitacco E(2013)X-ClassACM Transactions on Information Systems10.1145/2414782.241478531:1(1-40)Online publication date: 1-Jan-2013
https://dl.acm.org/doi/10.1145/2414782.2414785
Tam TFerreira ALourenço A(2012)Automatic foldering of email messagesProceedings of the 34th European conference on Advances in Information Retrieval10.1007/978-3-642-28997-2_20(232-243)Online publication date: 1-Apr-2012
https://dl.acm.org/doi/10.1007/978-3-642-28997-2_20
Kiritchenko SMatwin SNg JCouturier CLitoiu MStroulia E(2011)Email classification with co-trainingProceedings of the 2011 Conference of the Center for Advanced Studies on Collaborative Research10.5555/2093889.2093923(301-312)Online publication date: 7-Nov-2011
https://dl.acm.org/doi/10.5555/2093889.2093923
Mohammad AZitar R(2011)Application of genetic optimized artificial immune system and neural networks in spam detectionApplied Soft Computing10.1016/j.asoc.2011.02.02111:4(3827-3845)Online publication date: 1-Jun-2011
https://dl.acm.org/doi/10.1016/j.asoc.2011.02.021
Chang MPoon C(2009)Using phrases as features in email classificationJournal of Systems and Software10.1016/j.jss.2009.01.01382:6(1036-1045)Online publication date: 1-Jun-2009
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Wu C(2009)Behavior-based spam detection using a hybrid method of rule-based techniques and neural networksExpert Systems with Applications: An International Journal10.1016/j.eswa.2008.03.00236:3(4321-4330)Online publication date: 1-Apr-2009
https://dl.acm.org/doi/10.1016/j.eswa.2008.03.002
Liu BHan HNoro TTokuda T(2009)Personal News RSS Feeds Generation Using Existing News FeedsProceedings of the 9th International Conference on Web Engineering10.1007/978-3-642-02818-2_34(419-433)Online publication date: 18-Jun-2009
https://dl.acm.org/doi/10.1007/978-3-642-02818-2_34
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Using phrases as features in email classification

Email typosquatting

Social feature-based enterprise email classification without examining email contents

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