References
- R. Agrawal, T. Imielinski, A. Swan, “Mining Association Rules Between Set of Items in Large Databases”, In ACM SIGMOD International Conference on Management of Data, pp.207-216, 1995. https://doi.org/10.1145/170035.170072
- D. W., Cheung, J. Han, V. Neg, Y. Wong, “Maintenance of Discovered Association Rules in Large Databases: An Incremental Updating Technique”, In the International Conference on Data Engineering, pp.106-114, 1996. https://doi.org/10.1109/ICDE.1996.492094
- W. Wang, Y. Yang, R. Muntz, “Temporal Association Rules with Numeric Attribute”, In NCLA CSD Technical Report. 1999.
- W. Wang, Y. Yang, R. Muntz, R., “Temporal Association Rules on Evolving Numerical Attribute”, In the 17th International Conference on Data Engineering, pp.283-292, 2001. https://doi.org/10.1109/ICDE.2001.914839
- C.H. Lee, M.S. Chen, C.R. Lin, C, R., “Progressive Partition Miner: An Efficient Algorithm for Mining General Temporal Association Rules”, In IEEE Transaction on Knowledge Engineering, pp.1004-1017, 2003. https://doi.org/10.1109/TKDE.2003.1209015
- F. Conen, P. Leng, S. Ahmed, “Data Structure for Association Rules Mining: T-tree and P-tree”, In IEEE Transaction on Knowledge Engineering, pp.774-778, 2004. https://doi.org/10.1109/TKDE.2004.8
- R. Rymon, “Searching through systematic set enumeration”, In the 3rd International Conference on Principles of Knowledge and Reasoning, 1993.
- C. Zheng, “An Incremental updating technique for mining indirect association rules,” Proceedings of the Seventh International Conference on Machine Learning and Cybernetics, Kunming, pp.217-221, 2008. https://doi.org/10.1109/ICMLC.2008.4620407
- X. Li, Z.H. Deng and S. Twang, “A Fast Algorithm for Maintenance of Association Rules in Incremental Databases” Adnaced Data Mining and Application, pp.56-63, 2006. https://doi.org/10.1007/11811305_5
- M. Adnan, R. Alhajj, and K. Barker “Constructing Complete FP-Tree for Incremental Mining of Frequent Patterns in Dynamic Databases”, Advances in Applied Artificial Intelligence, 19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE, pp.363-372, 2006. https://doi.org/10.1007/11779568_40
- W. Cheung, and O. R. Zaiane, “Incremental Mining of Frequent Patterns without Candidate Generation or Support Constraint”, in Proc. IDEAS’03, 2003, vol. 1098-8068/03, p.111.
- J. S. Park, M. S. Chen and P.S. Yu, “An Effective Hashed-Based Algorithm for Mining Association Rules”, in proc. 1995 ACM-SIGMOD Int. Conf. Management of Data, San Joe, CA. May, 1995. https://doi.org/10.1145/568271.223813
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