| Tài liệu tham khảo |
Loại |
Chi tiết |
| [1] E. Keogh, “A Tutorial on Indexing and Mining Time Series Data,” In The IEEE International Conference on Data Mining (ICDM 2001), San Jose, USA, November 29, 2001 |
Sách, tạp chí |
| Tiêu đề: |
A Tutorial on Indexing and Mining Time Series Data,” In "The IEEE International Conference on Data Mining (ICDM 2001) |
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| [2] G. Das, K. Lin, H. Mannila, G. Reganathan, and P. Smyth, “Rule Discovery from Time Series,” Proc. of the 4th Int'l Conference on Knowledge Discovery and Data Mining, pp. 16-22, New York, NY, Aug 27-31, 1998 |
Sách, tạp chí |
| Tiêu đề: |
Rule Discovery from Time Series,” "Proc. of the 4th Int'l Conference on Knowledge Discovery and Data Mining |
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| [3] P. Cotofrei and K. Stoffel, “Classification Rules + Time = Temporal Rules,” Proc. of the 2002 Int'l Conference on Computational Science, pp. 572-581, Amsterdam, Netherlands, Apr 21-24, 2002 |
Sách, tạp chí |
| Tiêu đề: |
Classification Rules + Time = Temporal Rules,” "Proc. of the 2002 Int'l Conference on Computational Science |
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| [4] E. Keogh and S. Kasetty, “On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration,” Proc. of the 8th ACM SIGKDD Int'l Conference on Knowledge Discovery and Data Mining, Edmonton, pp. 102- 111, Alberta, Canada, July 23-26, 2002 |
Sách, tạp chí |
| Tiêu đề: |
On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration,” "Proc. of the 8th ACM SIGKDD Int'l Conference on Knowledge Discovery and Data Mining, Edmonton |
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| [5] S. K. Harms, J. Deogun, and T. Tadesse, “Discovering Sequential Association Rules with Constraints and Time Lags in Multiple Sequences,”Proc. of the 13th Int'l Symposium on Methodologies for Intelligent Systems, pp. 432-441, Lyon, France, June 27-29, 2002 |
Sách, tạp chí |
| Tiêu đề: |
Discovering Sequential Association Rules with Constraints and Time Lags in Multiple Sequences,”"Proc. of the 13th Int'l Symposium on Methodologies for Intelligent Systems |
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| [6] J. Han and M. Kamber, “Data Mining: Concepts and Techniques,” Morgan Kaufmann Publishers, San Francisco, CA, 2002 |
Sách, tạp chí |
| Tiêu đề: |
Data Mining: Concepts and Techniques,” "Morgan Kaufmann Publishers |
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| [7] Q. Yang and X. Wu, “10 Challenging Problems in Data Mining Research,” International Journal of Information Technology and Decision Making, vol. 5, pp.597-604, 2006 |
Sách, tạp chí |
| Tiêu đề: |
10 Challenging Problems in Data Mining Research,” "International Journal of Information Technology and Decision Making, vol |
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| [8] D. Toshniwal and R. C. Joshi (Oct.2005), “Using Cumulative Weighted Slopes for Clustering Time Series Data,” GESTS Int’l Trans. Computer Science and Engr., Vol.20, No.1, pp. 29-40 |
Sách, tạp chí |
| Tiêu đề: |
Using Cumulative Weighted Slopes for Clustering Time Series Data,” "GESTS Int’l Trans. Computer Science and Engr |
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| [9] S.-S Choi, S.-H. Cha, C. C. Tappert, “A Survey of Binary Similarity and Distance Measures,” Journal of Systemics, Cybernetics and Informatics, vol. 8,no.1, pp. 43-48, 2010 |
Sách, tạp chí |
| Tiêu đề: |
A Survey of Binary Similarity and Distance Measures,” "Journal of Systemics, Cybernetics and Informatics |
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| [10] S.-H. Cha, “Comprehensive Survey on Distance/Similarity Measures between Probability Density Functions,” International Journal of Mathematical Models and Methods in Applied Sciences, vol. 1, no. 4, pp. 300-307, 2007 |
Sách, tạp chí |
| Tiêu đề: |
Comprehensive Survey on Distance/Similarity Measures between Probability Density Functions,” "International Journal of Mathematical Models and Methods in Applied Sciences |
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| [11] D. Berndt and J. Clifford, “Using dynamic time warping to find patterns in time series,” In Proceedings of AAAI Workshop on Knowledge Discovery in Databases, KDD 94, Seattle, Washington, USA,1994, pp. 359-370 |
Sách, tạp chí |
| Tiêu đề: |
Using dynamic time warping to find patterns in time series,” In "Proceedings of AAAI Workshop on Knowledge Discovery in Databases |
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| [12] M. Vlachos, D. Gunopulos, G. Das, “Indexing Time Series under Condition of Noise,” In M. Last, A. Kandel & H. Bunke (Eds.), Data Mining in Time Series Databases. World Scientific Publishing, 2004 |
Sách, tạp chí |
| Tiêu đề: |
Indexing Time Series under Condition of Noise,” In "M. Last, A. Kandel & H. Bunke (Eds.), Data Mining in Time Series Databases |
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| [13] E. Keogh, “Mining Shape and Time Series Databases with Symbolic Representations,” In tutorial of the 13rd ACM International Conference on Knowledge Discovery and Data Mining, KDD 2007, California, USA |
Sách, tạp chí |
| Tiêu đề: |
Mining Shape and Time Series Databases with Symbolic Representations,” In "tutorial of the 13rd ACM International Conference on Knowledge Discovery and Data Mining |
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| [14] E. Keogh and C. A. Ratanamahatana, “Exact Indexing of Dynamic Time Warping,” in VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases , 2002, pp. 406-417 |
Sách, tạp chí |
| Tiêu đề: |
Exact Indexing of Dynamic Time Warping,” in "VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases |
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| [15] R. Agrawal, C. Faloutsos, A. Swami , “Efficient similarity search in sequence databases,” In Proceedings of the 4th International Conference on Foundations of Data Organization and Algorithms, Chicago, 1993, pp. 69-84 |
Sách, tạp chí |
| Tiêu đề: |
Efficient similarity search in sequence databases,” In "Proceedings of the 4th International Conference on Foundations of Data Organization and Algorithms |
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| [16] K. Chan and A. W. Fu, “Efficient Time Series Matching by Wavelets,” InProceedings of the 15th IEEE Int'l Conference on Data Engineering, Sydney, Australia, 1999, pp. 126-133 |
Sách, tạp chí |
| Tiêu đề: |
Efficient Time Series Matching by Wavelets,” In"Proceedings of the 15th IEEE Int'l Conference on Data Engineering |
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| [17] E. Keogh, K. Chakrabarti , M. Pazzani , S. Mehrotra , “Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases,” In |
Sách, tạp chí |
| Tiêu đề: |
Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases |
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| [18] E. Keogh, K. Chakrabarti, S. Mehrotra, and M. Pazzani, “Locally adaptive dimensionality reduction for indexing large time series databases,” In Proceedings of the 2001 ACM SIGMOD Conference on Management of Data, 2001, pp. 151- 162 |
Sách, tạp chí |
| Tiêu đề: |
Locally adaptive dimensionality reduction for indexing large time series databases,” In "Proceedings of the 2001 ACM SIGMOD Conference on Management of Data |
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| [19] E. Fink, K. B. Pratt, “Indexing of compressing time series,” In Mark Last, Abraham Kandel and Horst Bunke, editors. Data mining in time series Databases, World Scientific, Singapore, 2003 |
Sách, tạp chí |
| Tiêu đề: |
Indexing of compressing time series,” In" Mark Last, Abraham Kandel and Horst Bunke, editors. Data mining in time series Databases |
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| [20] A. Strehl, and J. Ghosh, “Cluster Ensembles – A Knowledge Reuse Framework for Combining Multiple Partitions,” J. of Machine Learning Research, 3(3), 2002, pp. 583-617 |
Sách, tạp chí |
| Tiêu đề: |
Cluster Ensembles – A Knowledge Reuse Framework for Combining Multiple Partitions,” "J. of Machine Learning Research |
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