Email Mining Bibliography

Here is a list of publications related to email mining.
The list is incomplete and it will be regularly updated.

Alonso, L., B. Casas, et al. (2004). Knowledge-intensive automatic e-mail summarization in CARPANTA. ACL '04, Barcelona, Spain.

Androutsopoulos, I., J. Koutsias, et al. (2000). An experimental comparison of naive Bayesian and keyword-based anti-spam filtering with personal e-mail messages 23rd annual international ACM SIGIR conference on Research and development in information retrieval Athens, Greece, ACM Press.

Bekkerman, R., A. McCallum, et al. (2004). Automatic Categorization of Email into Folders: Benchmark Experiments on Enron and SRI Corpora. UMass CIIR Technical Report IR-418.

Bickel, S. and T. Scheffer (2004). Learning from Message Pairs for Automatic Email Answering. Machine Learning: ECML 2004, 15th European Conference on Machine Learning, Pisa, Italy, Springer.

Boone, G. (1998). Concept features in Re:Agent, an intelligent email agent. International Conference on Autonomous Systems, Minneapolis, Minnesota, United States, ACM Press.

Brutlag, J. D. and C. Meek (2000). Challenges of the Email Domain for Text Classification. Seventeenth International Conference on Machine Learning, Morgan Kaufmann Publishers Inc.

Busemann, S., S. Schmeier, et al. (2000). Message Classification in the call center. Sixth Conference on Applied Natural Language Processing, Seattle, Washington, Morgan Kaufmann Publishers Inc.

Carreras, X. and L. Marquez (2001). Boosting Trees for Anti-Spam Email Filtering. RANLP-01, 4th International Conference on Recent Advances in Natural Language Processing.

Clark, J., I. Koprinska, et al. (2003). A Neural Network Based Approach to Automated E-Mail Classification. IEEE/WIC International Conference on Web Intelligence (WI'03), Halifax, Canada.

Cohen, W. (1996). Learning rules that classify e-mail. AAAI Spring Symposium on Machine Learning in Information Access.

Corney, M., O. d. Vel, et al. (2002). Gender-Preferential Text Mining of E-mail Discourse. ACSAC '02: 18th Annual Computer Security Applications Conference

IEEE Computer Society.

Crawford, E., J. Kay, et al. (2002). IEMS - The Intelligent email Sorter. International Conference on Machine Learning.

Cunningham, P., N. Nowlan, et al. (2003). A Case-Based Approach to Spam Filtering that Can Track Concept Drift. ICCBR'03 Workshop on Long-Lived CBR Systems, Trondheim, Norway.

Diao, Y., H. Lu, et al. (2000). A comparative study of classification-based personal e-mail filtering. PAKDD-00, 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Kyoto, Japan, Springer Verlag.

Drucker, H., V. Vapnik, et al. (1999). "Support Vector Machines for Spam Categorization." IEEE Transactions on Neural Networks 10(5): 1048--1054.

Ducheneaut, N. and V. Belloti (2001). "E-mail as habitat: an exploration of embedded personal information management." Interactions 8(5): 30-38.

Gee, K. R. (2003). Using Latent Semantic Indexing to Filter Spam. ACM Symposium on Applied Computing, Data Mining Track.

Graham-Cumming, J. (2002). "PopFile: Automatic Email Classification (http://popfile.sourceforge.net)."

Ho, V., W. Wobcke, et al. (2003). "EMMA: An E-Mail Management Assistant." IEEE/WIC International Conference on Intelligent Agent Technology.

Itskevitch, J. (2001). Automatic Hierarchical E-Mail Classification using association rules. Computing Science Department, Simon Fraser University. MSc.

Johnston, G. (2002). We've Got Mail: 60 Billion Daily. PCWorld ( http://www.pcworld.com/news/article/0,aid,105525,00.asp ).

Klimt, B. and Y. Yang (2004). The Enron Corpus: A New Dataset for Email Classification Research. 15th European Conference on Machine Learning, Pisa, Italy, Springer.

Kockelkorn, M., A. Luneburg, et al. (2003). Learning to answer emails. International Symposium on Intelligent Data Analysis.

Lam, D., S. L. Rohall, et al. (2002). Exploiting E-Mail Structure to Improve Summarization.

Lewis, D. D. and K. A. Knowles (1997). "Threading Electronic Mail: A Preliminary Study." Information Processing and Management 33(2): 209-217.

Manco, G., E. Masciari, et al. (2002). Towards an Adaptive Mail Classifier. AIIA 2002.

Manco, G., E. Masciari, et al. (2002). A Framework for Adaptive Mail Classification. ICTAI '02: 14th IEEE International Conference on Tools with Artificial Intelligence, Washington, DV, USA, IEEE Computer Society.

Miller, R. (2003). Email: The Other Content Management. EContent Magazine (http://www.ecmag.net/?ArticleID=882).

Muresan, S., E. Tzoukerman, et al. (2001). Combining Linguistic and Machine Learning Techniques for Email Summarization. Proceedings of CoNLL-2001, Toulouse, France.

Pazzani, M. J. (2002). Representation of electronic mail filtering profiles: a user study. Intelligent User Interfaces.

Rennie, J. D. M. (2000). ifile: An Application of Machine Learning to E-Mail Filtering. KDD-2000 Workshop on Text Mining.

Rockbridge Associates , I. (2004). National Technology Readiness Survey, Summary Report, Prepared by: Rockbridge Associates, Inc. February 3, 2005. Avaliable at: http://www.rockresearch.com/press_releases/NTRS_2004.pdf.

Sahami, M., D. D. Heckerman, et al. (1998). A Bayesian Approach to Filtering Junk E-Mail. Learning for Text Categorization: Papers from the 1998 Workshop, Madison, Wisconsin, AAAI Technical Report WS-98-05.

Sakkis, G., I. Androutsopoulos, et al. (2001). Stacking Classifiers for Anti-Spam Filtering of E-Mail. EMNLP-01, 6th Conference on Empirical Methods in Natural Language Processing, Pittsburgh, US, Assosiation for Computational Linguistics.

Sakkis, G., I. Androutsopoulos, et al. (2003). "A Memory-Based Approach to Anti-Spam Filtering for Mailing Lists." Information Retrieval 6(1): 49-73.

Scheffer, T. (2004). "Email Answering Assistance by Semi-Supervised Text Classification." Intelligent Data Analysis 8(5): 481-493.

Segal, R. and J. Kephard (1999). "MailCat: An Intelligent Assistant for Organizing E-Mail." Third International Conference on Autonomous Agents.

Segal, R. and J. O. Kephart (2000). Incremental Learning in SwiftFile. 7th International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, Morgan Kaufmann.

Surendran, A. C., J. C. Platt, et al. (2005). Automatic Discovery of Personal Topics to Organize Email. 2nd Conference on Email ant Anti-Spam, Stanford University, USA.

Vel, O. d., A. Anderson, et al. (2001). "Mining e-mail content for author identification forensics." SIGMOD Rec. 30(4): 55-64.

Wan, S. and K. McKeown (2004). Generating Overview Summaries of Ongoing Email Thread Discussions. COLING 2004, the 20th International Conference on Computational Linguistics, Geneva, Switzerland.

Zhang, L., J. Zhu, et al. (2004). "An evaluation of statistical spam filtering techniques." ACM Transactions on Asian Language Information Processing (TALIP) 3(4): 243-269.