Tài liệu tham khảo |
Loại |
Chi tiết |
[1] R. Agrawal and R. Srikant, "Fast algorithms for mining association rules," in The International Conference on Very Large Databases, 1994 |
Sách, tạp chí |
Tiêu đề: |
Fast algorithms for mining association rules |
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[2] R. Agrawal, R. Srikant, "Mining sequential patterns," in Proceedings of the International Conference on Data Engineering (ICDE), 1995 |
Sách, tạp chí |
Tiêu đề: |
Mining sequential patterns |
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[3] Han, Jiawei, Jian Pei, and Yiwen Yin., "Mining frequent patterns without candidate generation.," in ACM Sigmod Record, 2000 |
Sách, tạp chí |
Tiêu đề: |
Mining frequent patterns without candidate generation |
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[4] M. Zaki, "Scalable algorithms for association mining," IEEE Transactions on Knowledge and Data Engineering, vol. 12, no. 3, pp. 372- 390, 2000 |
Sách, tạp chí |
Tiêu đề: |
Scalable algorithms for association mining |
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[5] J.Pei, J.Han, H.Lu, S.Nishio, S.Tang and D.Yang, "H-mine: Hyper- structure mining of frequent patterns in large databases," IEEE International Conference on Data Mining, pp. 441-448, 2001 |
Sách, tạp chí |
Tiêu đề: |
H-mine: Hyper-structure mining of frequent patterns in large databases |
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[6] T. Uno, M. Kiyomi, and H. Arimura, "Efficient mining algorithms for frequent/closed/maximal itemsets," in IEEE International Conference on Data Mining Workshop on Frequent Itemset Mining Implementations, 2004 |
Sách, tạp chí |
Tiêu đề: |
Efficient mining algorithms forfrequent/closed/maximal itemsets |
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[7] Vũ Đức Thi, Nguyễn Huy Đức, "Thuật toán hiệu quả khai phá tập mục lợi ích cao trên cấu trúc dữ liệu cây," Computer science and cybernetics, vol. 24, no. 3, pp. 110-126, 2008 |
Sách, tạp chí |
Tiêu đề: |
Thuật toán hiệu quả khai phá tậpmục lợi ích cao trên cấu trúc dữ liệu cây |
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[8] J. M. Pokou, P. Fournier-Viger, and C. Moghrabi, "Authorship attribution using small sets of frequent part-of-speech skip-grams," in The International Florida Artificial Intelligence Research Society Conference, 2016 |
Sách, tạp chí |
Tiêu đề: |
Authorshipattribution using small sets of frequent part-of-speech skip-grams |
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[9] Pramono, Y. W. T., "Anomaly-based Intrusion Detection and Prevention System on Website Usage using Rule-Growth Sequential Pattern Analysis," in The International Conference on Advanced Informatics, Concept Theory and Applications, 2014 |
Sách, tạp chí |
Tiêu đề: |
Anomaly-based Intrusion Detection andPrevention System on Website Usage using Rule-Growth Sequential PatternAnalysis |
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[10] R. Agrawal, R.Srikant, "Mining sequential patterns: Generallizations and performance improvements," Lecture Notes in Computer Science, vol.1057, pp. 3-17, 1996 |
Sách, tạp chí |
Tiêu đề: |
Mining sequential patterns: Generallizationsand performance improvements |
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[11] Zaki.M, "SPADE: An Efficient Algorithm for Mining Frequent Sequences," Machine Learning, vol. 40, pp. 31-60, 2000 |
Sách, tạp chí |
Tiêu đề: |
SPADE: An Efficient Algorithm for Mining Frequent Sequences |
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[12] S. Aseervatham, A. Osmani, and E. Viennet, "bitSPADE: A lattice- based sequential pattern mining," in The International Conference on Data Mining, 2006 |
Sách, tạp chí |
Tiêu đề: |
bitSPADE: A lattice- based sequential pattern mining |
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[13] J. Han, J. Pei, B. Mortazavi-Asl, Q. Chen, U. Dayal, and M. C. Hsu,"FreeSpan: frequent pattern projected sequential pattern mining," in ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2000 |
Sách, tạp chí |
Tiêu đề: |
FreeSpan: frequent pattern projected sequential pattern mining |
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[14] J.Pei,J.Han, and Wang.W, "Mining Sequential Pattern with Constraints in Large Databases," in Proc. of CIKM’02, 2002 |
Sách, tạp chí |
Tiêu đề: |
Mining Sequential Pattern with Constraints in Large Databases |
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[15] J. Ayres, J. Flannick, J. Gehrke, and T. Yiu, "Sequential pattern mining using a bitmap representation," ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 429-435, 2002 |
Sách, tạp chí |
Tiêu đề: |
Sequential patternmining using a bitmap representation |
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[16] K. Gouda, M. Hassaan, and M. J. Zaki, "Prism: An effective approach for frequent sequence mining via prime-block encoding," Journal of Computer and System Sciences, vol. 76, no. 1, p. 88–102, 2010 |
Sách, tạp chí |
Tiêu đề: |
Prism: An effective approachfor frequent sequence mining via prime-block encoding |
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[17] P. Fournier-Viger, A. Gomariz, M. Campos, and R. Thomas, "Fast Vertical Mining of Sequential Patterns Using Co-occurrence Information," in The Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2014 |
Sách, tạp chí |
Tiêu đề: |
FastVertical Mining of Sequential Patterns Using Co-occurrence Information |
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[18] Z. Yang, and M. Kitsuregawa, "LAPIN-SPAM: An improved algorithm for mining sequential pattern," in The International Conference on Data Engineering Workshops, 2005 |
Sách, tạp chí |
Tiêu đề: |
LAPIN-SPAM: An improvedalgorithm for mining sequential pattern |
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[19] P. Fournier-Viger, C.-W. Wu, A. Gomariz, and V. S. Tseng, "VMSP:Efficient vertical mining of maximal sequential patterns," in The Canadian Conference on Artificial Intelligence, 2014 |
Sách, tạp chí |
Tiêu đề: |
VMSP:Efficient vertical mining of maximal sequential patterns |
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[20] P. Fournier-Viger, A. Gomariz, M. Sebek, M. Hlosta, "VGEN: fast vertical mining of sequential generator patterns," in The International Conference on Data Warehousing and Knowledge Discovery, 2014 |
Sách, tạp chí |
Tiêu đề: |
VGEN: fastvertical mining of sequential generator patterns |
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