EMMA: An e-mail management assistant

Proceedings - IEEE/WIC International Conference on Intelligent Agent Technology, IAT'03

Volumn , Issue , 2003, Pages 67-74

  Ho, Van ^a   Wobcke, Wayne ^a   Compton, Paul ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

E-MAIL MANAGEMENT; E-MAIL SYSTEMS; EMAIL CLASSIFICATION; HIGH DEGREE OF ACCURACY; RIPPLE DOWN RULES; RULE BASE; RULE BASED SYSTEM; RULE-BASED APPROACH;

ELECTRONIC MAIL;

EID: 33644589451     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. W. W. Cohen. Learing Rules That Classify E-Mail. In Machine Learning in Information Access: Papers from the 1996 Spring Symposium, pages 18-25, 1996.
2. P. Compton and R. Jansen. A Philosophical Basis for Knowledge Acquisition. Knowledge Acquisition, 2(3): 241-257, 1990.
3. E. Crawford, J. Kay and E. McCreath. IEMS - The Intelligent Email Sorter. In Proceedings of the Nineteenth International Conference on Machine Learning, pages 83-90, 2002.
4. th AAAI-Sponsored Banff Knowledge Acquisition for Knowledge-Based Systems Workshop, pages 17.1-17.20, 1995.
5. P. Maes. Agents that ReduceWork and Information Overload. Communications of the ACM, 37(7): 31-40, 1994.
6. T. Mitchell. Machine Learning. McGraw Hill, New York, NY, 1997.
7. R. B. Segal and J. O. Kephart. Incremental Learning in Swift- File. In Proceedings of the Seventeenth International Conference on Machine Learning, pages 863-870, 2000.
8. S. Singh and A. Ryan. A Design for the Effective Use of Corporate E-mail. Research Report 27, Centre for International Research on Communication and Information Technologies, RMIT University, 2000.
9. T. Wada, T. Yoshida, H. Motoda and T. Washio. Extension of the RDR Method That Can Adapt to Environmental Changes and Acquire Knowledge from Both Experts and Data. In PRICAI 2002: Trends in Artificial Intelligence, pages 218-227. Springer-Verlag, Berlin, 2002.