ifile: An Application of Machine Learning to E-Mail Filtering (2000)

by Jason D. M. Rennie
Venue:Proc. KDD Workshop on Text Mining
Citations:42 - 0 self

Active Bibliography

49 Using Unlabeled Data to Improve Text Classification – Kamal Paul Nigam - 2001
1 New Techniques In Intelligent Information Filtering – Attila Macskassy, Sofus Attila Macskassy, Dissertation Director, Dr. Haym Hirsh, Dr. Haym Hirsh - 2003
A SURVEY OF TEXT CLASSIFICATION ALGORITHMS – Charu C. Aggarwal, Chengxiang Zhai
4 Mining Text Data – Charu C. Aggarwal, Chengxiang Zhai (eds.)
260 Bursty and Hierarchical Structure in Streams – Jon Kleinberg - 2002
5 Using EM to Classify Text from Labeled and Unlabeled Documents – Kamal Nigam , Andrew McCallum, Sebastian Thrun, Tom Mitchell - 1998
803 Text Classification from Labeled and Unlabeled Documents using EM – Kamal Nigam, Andrew Kachites Mccallum, Sebastian Thrun, Tom Mitchell - 1999
164 Learning to Classify Text from Labeled and Unlabeled Documents – Kamal Nigam, Andrew Mccallum, Tom Mitchell - 1998
Building Maximum Entropy . . . – Zhang Xinhua
3 Robust Statistical Techniques for the Categorization of Images Using Associated Text – Carl Sable - 2003
3 Behavior-based Email Analysis with Application to Spam Detection – Shlomo Hershkop - 2006
234 Distributional Clustering of Words for Text Classification – L. Douglas Baker, Andrew Kachites Mccallum - 1998
9 Automatic Hierarchical E-Mail Classification Using Association Rules – Julia Itskevitch - 2001
20 Hyperlink Ensembles: A Case Study in Hypertext Classification – Johannes F├╝rnkranz - 2001
M-InfoSift: A Graph-based Approach for Multiclass Document Classification – Aravind Venkatachalam - 2007
2 Infosift: adapting graph mining techniques for document classification – Manu Aery - 2004
1 Machine Learning of Web Documents – David R. Karger, Lawrence Kai Shih, Lawrence Kai Shih - 2004
64 Improving Multi-class Text Classification with Naive Bayes – Tommi Jaakkola, Jason D. M. Rennie, Jason D. M. Rennie - 2001
8 An evaluation of statistical spam filtering techniques – Le Zhang, Jingbo Zhu, Tianshun Yao - 2004