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References
Busam, V. (2000). Personal Communications.
Crovella, M., and Bestavros, A. (1997) Self-similarity in world wide web traffic: evident and possible cause. IEEE/ACM Transactions on Networking. 5(6):835–846.
Han, J., Gong, W., and Yin, Y. (1998) Mining segment-wise periodic patterns in time-related databases. Proc. Int'l. Conference on Knowledge Discovery and Data Mining (KDD). pp. 214–218.
Han, J., Dong, G., and Yin, Y. (1999). Efficient mining partial periodic patterns in time series database. Proc. IEEE Int'l. Conference on Data Engineering (ICDE). pp. 106–115.
Ozden, B., Ramaswamy, S., and Silberschatz, A. (1998). Cyclic association rules. Proc. 14th Int'l. Conference on Data Engineering (ICDE). pp. 412–421.
Ramaswamy, S., Mahajan, S., and Silberschatz, A. (1998). On the discovery of interesting patterns in association rules. Proc. 24th Intl. Conf. on Very Large Data Bases (VLDB). pp. 368–379.
Thompson, K., Miller, G., and Wilder, R. (1997). Wide-area internet traffic patterns and characteristics. IEEE Network — Magazine of Global Information Exchange, 11(6):10–23.
Wang, W., Yang, J., and Yu, P. (2001) Meta-patterns: revealing hidden periodic patterns. IEEE Int'l. Conference on Data Mining (ICDM). pp. 550–557.
Yang, J., Wang, W., and Yu, P. (2003). Mining asynchronous periodic patterns in time series data. IEEE Transactions on Knowledge and Data Engineering. 15(3):613–628.
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(2005). Periodic Patterns. In: Mining Sequential Patterns from Large Data Sets. Advances in Database Systems, vol 28. Springer, Boston, MA. https://doi.org/10.1007/0-387-24247-3_3
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DOI: https://doi.org/10.1007/0-387-24247-3_3
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