Incremental Meta-Mining from Large Temporal Data Sets-Reference-Cited by-同舟云学术

Incremental Meta-Mining from Large Temporal Data Sets

Published:1999 Issue: Volume: Page:41-54
ISSN:0302-9743
Container-title:Advances in Database Technologies
language:
Short-container-title:

Author:

Abraham Tamas,Roddick John F.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-49121-7_4

Reference16 articles.

1. Abraham, T. and Roddick, J.F. 1997a. ‘Discovering Meta-rules in Mining Temporal and Spatio-Temporal Data’. In Proc. Eighth International Database Workshop, 30–41.

2. Abraham, T. and Roddick, J.F. 1997b. ‘Research issues in spatio-temporal knowledge discovery’. In Proc. SIGMOD97 Workshop on Data Mining, 85.

3. Abraham, T. and Roddick, J.F. 1998a. ‘Incremental meta-mining from large temporal data sets: extended report’. Technical Report University of South Australia.

4. Abraham, T. and Roddick, J.F. 1998b. ‘Opportunities for knowledge discovery in spatio-temporal information systems’. Australian Journal of Information Systems. 5(2): 3–12.

5. Cheung, D.W., Han, J., Ng, V.T. and Wong, C.Y. 1996. ‘Maintenance of Discovered Association Rules in Large Databases: An Incremental Updating Technique.’. In Proc. International Conference on Data Engineering (ICDE’96) New Orleans, Louisiana, USA.

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