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Mining Fuzzy Sequential Patterns with Fuzzy Time-Intervals in Quantitative Sequence Databases


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1. Agrawal, R., R. Srikant. Mining Sequential Patterns. – In: Proc. of 11th International Conference on Data Engineering, 1995.Search in Google Scholar

2. Cao, H., et al. A Fuzzy Sequential Pattern Mining Algorithm Based on Independent Pruning Strategy for Parameters Optimization of Ball Mill Pulverizing System. – Information Technology and Control, Vol. 43, 2014, No 3, pp. 303-314.10.5755/j01.itc.43.3.5180Search in Google Scholar

3. Chang, C.-I., H.-E. Chueh, N. P. Lin. Sequential Patterns Mining with Fuzzy Time-Intervals. – In: 6th International Conference on FSKD’09, Vol. 3, 2009.10.1109/FSKD.2009.733Search in Google Scholar

4. Chang, C.-I., H.-E. Chueh, d Y.-C. Luo. An Integrated Sequential Patterns Mining with Fuzzy Time-Intervals – In: International Conference on Systems and Informatics (ICSAI’12), 2012.10.1109/ICSAI.2012.6223511Search in Google Scholar

5. Chen, R.-S. et al. Discovery of Fuzzy Sequential Patterns for Fuzzy Partitions in Quantitative Attributes. – In: ACS/IEEE International Conference on Computer Systems and Applications, 2001, pp. 144-150.Search in Google Scholar

6. Chen, Y.-L., T. C.-K. Huang. Discovering Fuzzy Time-Interval Sequential Patterns in Sequence Databases. – IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), Vol. 35, 2005, No 5, pp. 959-972.10.1109/TSMCB.2005.847741Search in Google Scholar

7. Chen, Y.-L., M.-C. Chiang, M.-T. Ko. Discovering Time-Interval Sequential Patterns in Sequence Databases. – Expert Systems with Applications, Vol. 25, 2003, No 3, pp. 343-354.10.1016/S0957-4174(03)00075-7Search in Google Scholar

8. Fowkes, J., C. Sutton. A Subsequence Interleaving Model for Sequential Pattern Mining. – arXiv preprint arXiv:1602.05012, 2016.10.1145/2939672.2939787Search in Google Scholar

9. Garofalakis, M. N., R. Rastogi, K. Shim. SPIRIT: Sequential Pattern Mining with Regular Expression Constraints. – VLDB, Vol. 99, 1999.Search in Google Scholar

10. Han, J., et al. Prefixspan: Mining Sequential Patterns Efficiently by Prefix-Projected Pattern Growth. – In: Proc. of 17th International Conference on Data Engineering, 2001.Search in Google Scholar

11. Han, J., J. Pei, Y. Yin. Mining Frequent Patterns without Candidate Generation. – In: ACM Sigmod Record, Vol. 29, 2000.10.1145/335191.335372Search in Google Scholar

12. Hong, T.-P., C.-S. Kuo, S.-C. Chi. Mining Fuzzy Sequential Patterns from Quantitative Data. – In: Proc. of Conference IEEE SMC’99, Vol. 3, 1999.Search in Google Scholar

13. Hu, Y.-C., et al. A Fuzzy Data Mining Algorithm for Finding Sequential Patterns. – International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Vol. 11, 2003, No 2, pp. 173-193.10.1142/S0218488503002004Search in Google Scholar

14. Hu, Y.-C., G.-H. Tzeng, C.-M. Chen. Deriving Two-Stage Learning Sequences from Knowledge in Fuzzy Sequential Pattern Mining. – Information Sciences, Vol. 159, 2004, No 1, pp. 69-86.10.1016/S0020-0255(03)00190-7Search in Google Scholar

15. Huang, T., et al. Extracting Various Types of Informative Web Content via Fuzzy Sequential Pattern Mining. – Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint Conference on Web and Big Data. Springer, Cham, 2017, pp. 230-238.10.1007/978-3-319-63579-8_18Search in Google Scholar

16. Huang, T. C.-K. Discovery of Fuzzy Quantitative Sequential Patterns with Multiple Minimum Supports and Adjustable Membership Functions. – Information Sciences, Vol. 222, 2013, pp. 126-146.10.1016/j.ins.2012.07.047Search in Google Scholar

17. Kieu, T., et al. Mining Top-K Co-Occurrence Items With Sequential Pattern. – Expert Systems with Applications, Vol. 85, 2017, pp. 123-133.10.1016/j.eswa.2017.05.021Search in Google Scholar

18. Kuo, R. J., C. M. Chao, C. Y. Liu. Integration of k-Means Algorithm and Apriori Some Algorithm for Fuzzy Sequential Pattern Mining. – Applied Soft Computing, Vol. 9, 2009, No 1, pp. 85-93.10.1016/j.asoc.2008.03.010Search in Google Scholar

19. Agrawal, R., R. Srikant. Fast Algorithms for Mining Association Rules. – In: J. Bocca, M. Jarke, C. Zaniolo, Eds. Proc. of 20th International Conference on Very Large Data Bases (VLDB’94). Santiago, Morgan Kaufmann, 1994, pp. 487-499.Search in Google Scholar

20. Tan, P.-N., M. Steinbach, V. Kumar. Association Analysis: Basic Concepts and Algorithms. – Introduction to Data Mining, 2005, pp. 327-414.Search in Google Scholar

21. Phuong, T. D., D. V. Thanh, N. D. Dung. An Effective Algorithm for Association Rules Mining from Temporal Quantitative Databases. – Indian Journal of Science and Technology, Vol. 9, 2016, No 17.10.17485/ijst/2016/v9i17/92726Search in Google Scholar

22. Wright, A. P., et al. The Use of Sequential Pattern Mining to Predict Next Prescribed Medications. – Journal of Biomedical Informatics, Vol. 53, 2015, pp. 73-80.10.1016/j.jbi.2014.09.00325236952Search in Google Scholar

23. Yu, C.-C., Y.-L. Chen. Mining Sequential Patterns from Multidimensional Sequence Data. – IEEE Transactions on Knowledge and Data Engineering, Vol. 17, 2005, No 1, pp. 136-140.10.1109/TKDE.2005.13Search in Google Scholar

24. UCI-Machine Learning Repository. June 2017. http://archive.ics.uci.edu/ml/datasets.htmlSearch in Google Scholar

eISSN:
1314-4081
Language:
English
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4 times per year
Journal Subjects:
Computer Sciences, Information Technology