On-line rule matching for event prediction

Author:

Cho Chung-Wen,Wu Yi-Hung,Yen Show-Jane,Zheng Ying,Chen Arbee L. P.

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems

Reference41 articles.

1. Abadi, D.J., et al.: Aurora: a Data stream management system. Proc. ACM SIGMOD Int. Conf. Manag. Data 666 (2003)

2. Aguilera, M.K., Strom, R.E., Sturman, D.C., Astley, M., Chandra, T.D.: Matching events in a content-based subscription system. In: Proceedings of Annual ACM Symposium on Principles of Distributed Computing, pp. 53–61 (1999)

3. Altinel, M., Franklin, M.J.: Efficient filtering of XML documents for selective dissemination of information. In: Proceedings of International Conference on Very Large Data Bases, pp. 53–64 (2000)

4. Arasu, A., Babcock, B., Babu, S., Datar, M., Ito, K., Nishizawa, I., Rosenstein, J., Widom, J.: STREAM: the stanford stream data manager. Proc. ACM SIGMOD Int. Conf. Manag. Data 665 (2003)

5. Atallah, M.J., Gwadera, R., Szpankowski, W.: Detection of significant sets of episodes in event sequences. In: Proceedings of International Conference on Data Mining, pp. 3–10 (2004)

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