References
- C. F. Ahmed, S. K. Tanbeer and B. S. Jeong, "Efficient Mining of Weighted Frequent Patterns Over Data Streams," International Conference on High Performance Computing and Communications, pp.400-406, 2009.
- Y. Kim, W. Kim, U. Kim, "Mining Frequent Itemsets with Normalized Weight in Continuous Data Streams," Journal of Information Processing Systems, Vol.6, No.1, 2010.
- G.Chen, X. Wu and X. Zhu, "Mining Sequential Patterns Across Data Streams," Computer Science Technical Report(CS-05-04), 2005.
- C. K. S. Leung Q. I. Khan, T. Hoque, "CanTree:A Tree Structure for Efficient Incremental Mining of Frequent Pattern Sets," In proc. ICDM 2005.
- C. K. S. Leung Q. I. Khan, "DSTree:A Tree Structure for the Mining of Frequent Sets from Data Streams," In proc. ICDM 2006.
- J. Han, J. Pei, Y. Yin, "Mining Frequent Patterns without Candidate Generation," In Proc. of ACM SIGMOD International Conference on the Management of Data, 2000.
- J. Pei, J. Han, B. M. Asl, J. Wang, H. Pinto, Q. Chen, U. Dayal and M. Hsu, "Mining Sequential Patterns by pattern-Growth: The PrefixSpan Approach," IEEE Transactions on Knowledge and Data Engineering, Vol.16, No.11, 2004.
- P. Chouksey, R.S. Thakur, R.C. Jain, "Exploring Interesting Multi-level patterns using graph based approach, In Proc. 4th Indian International Conference on Artificial Intelligence, pp 377-387, 2009.
- V. Tiwari, V. Tiwari, S. Gupta and R. Tiwari, "Association for Mining: A Graph Based Approach for Mining Frequent Itemsets," IEEE International Conference on Networking and Information Technology, 2010.
- A. Choubey, R. Patel, J.L. Rana, "Graph based new approach for frequent pattern mining," International Journal of Computer Science & Information Technology ,Vol 4, No 1, pp221-235, 2012. https://doi.org/10.5121/ijcsit.2012.4117
- D. Han, D. Kim, J. Kim, C. Na and B.Hwang, "A Method for Mining Interval Event Association Rules from a Set of Events Having Time Property," Journal of Korea Information Processing Society, Vol.16-D, No.2, pp.185-190, 2009.
- Y.Lee, J. Lee, D. Chai, B. Hwang and K. Ryu, "Mining Temporal Interval Relational Rules from Temporal Data," The Journal of Systems and Software, Vol. 82, No.1, pp.155-167, 2009. https://doi.org/10.1016/j.jss.2008.07.037
- S. Laxman, P. S. Sastry and K. Unnikrishnan, "Discovering Frequent Generalized Episodes where Events Persist for Different Durations," IEEE Transactions on Knowledge and Data Engineering, Vol.19, No.9, pp.1188-1201, 2007. https://doi.org/10.1109/TKDE.2007.1055
- Unil Yun, "Efficient mining of weighted interesting patterns with a strong weight and/or support affinity," Journal of Information Sciences, Vol.177(17), pp3477-3499, 2007. https://doi.org/10.1016/j.ins.2007.03.018
- Zhongliang Li1, Tengfei Zhou1, Haoran Zhang1, Guocai Yang, "IWFPM: Interested Weighted Frequent Pattern Mining with Multiple Supports," Journal of Software, Vol.10(1) pp.9-19, 2015. https://doi.org/10.17706/jsw.10.1.9-19
- Jeong Hee Hwang, Mining Association Rule on Service Data using Frequency and Weight," Journal of Digital Contents Society, Vol.17(2), 2016.