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[1] Keogh, E. and Pazzani, M., 1998, An enhanced representation of time series which allows fast and accurate classification, clustering and relevance feedback, Proceedings of the 4th International Conference on Knowledge Discovery and Data Mining, New York, NY, Aug 27-31, pp. 239-241 |
Sách, tạp chí |
Tiêu đề: |
Proceedings of the 4th International Conference on Knowledge Discovery and Data Mining |
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[2] Ratanamahatana, C. A., Lin, J., Gunopulos, D., Keogh, E., Vlachos, M., Das, G., 2010, Mining Time Series Data, Data Mining and Knowledge Discovery Handbook, Springer, pp. 1049-1050 |
Sách, tạp chí |
Tiêu đề: |
Data Mining and Knowledge Discovery Handbook |
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[4] Dương Tuấn Anh, 2011, Tổng quan về tìm kiếm tương tự trên dữ liệu chuỗi thời gian, Tạp Chí Phát Triển Khoa Học và Công Nghệ, Tập 14, Số K2-2011, pp.71-77 |
Sách, tạp chí |
Tiêu đề: |
Tạp Chí Phát Triển Khoa Học và Công Nghệ, Tập 14, Số K2-2011 |
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[5] Keogh, E. and Pazzani, M., 2000, Scaling up Dynamic Time Warping for Datamining Applications, Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 285-289 |
Sách, tạp chí |
Tiêu đề: |
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining |
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[6] Berndt, D. J. and Clifford, J., 1994, Using Dynamic Time Warping to Find Patterns in Time Series, AAA1-94 Workshop on Knowledge Discovery in Databases, pp. 229-248 |
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Tiêu đề: |
AAA1-94 Workshop on Knowledge Discovery in Databases |
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[7] Han, J., Kamber, M. and Pei, J., 2012, Getting to Know Your Data, Data Mining:Concepts and Techniques, 3th ed., Massachusetts: Morgan Kaufmann Publishers, 2012, pp. 39-82 |
Sách, tạp chí |
Tiêu đề: |
Data Mining:Concepts and Techniques |
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[8] Hautamaki, V., Nykanen, P. and Franti, P., 2008, Time series Clustering by Approximate Prototypes, 19th International Conference on Pattern Recognition, Florida, pp. 1-4 |
Sách, tạp chí |
Tiêu đề: |
19th International Conference on Pattern Recognition |
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[10] Keogh, E. and Ratanamahatana, C. A., 2002, Exact indexing of dynamic time warping, Proceedings of 28th International Conference on Very Large Databases, pp. 406-417 |
Sách, tạp chí |
Tiêu đề: |
Proceedings of 28th International Conference on Very Large Databases |
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[11] Han, J., Kamber, M. and Pei J., 2012, Cluster Analysis: Basic Concepts and Methods in Data Mining: Concepts and Techniques, 3th ed., Massachusetts:Morgan Kaufmann Publishers, pp. 443-496 |
Sách, tạp chí |
Tiêu đề: |
Data Mining: Concepts and Techniques |
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[12] Gavrilov, M., Anguelov, D., Indyk, P. and Motwani, R., 2000, Mining the Stock Market: Which Measure is Best, Proceedings of the 6th ACM Int'l Conference on Knowledge Discovery and Data Mining, pp. 487-496 |
Sách, tạp chí |
Tiêu đề: |
Proceedings of the 6th ACM Int'l Conference on Knowledge Discovery and Data Mining |
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[13] Zhang, H., Ho, T. B., Zhang, Y. and Lin, M. S., 2005, Unsupervised Feature Extraction for Time Series Clustering Using Orthogonal Wavelet Transform, Journal on Informatics, vol. 30, pp. 305-319 |
Sách, tạp chí |
Tiêu đề: |
Journal on Informatics |
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[14] Lin, J., Vlachos, M., Keogh, E. and Gunopulos D., 2004, Iterative Incremental Clustering of Time Series, 9th International Conference on Extending Database Technology, pp. 106-122 |
Sách, tạp chí |
Tiêu đề: |
9th International Conference on Extending Database Technology |
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[15] Agrawal, R., Faloutsos, C. and Swami, A.N., 1993, Efficient Similarity Search in Sequence Databases, Proc. 4th Int. Conf. on Foundations of Data Organization and Algorithms (FODO), pp. 69-84 |
Sách, tạp chí |
Tiêu đề: |
Proc. 4th Int. Conf. on Foundations of Data Organization and Algorithms (FODO) |
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[16] Agrawal, R., Lin, K., Sawhney, H.S., and Shim, K., 1995, Fast similarity search in the presence of noise, scaling, and translation in time-series databases, Proceedings of the 21st International Conference on Very Large Databases, VLDB95, Zurich, Switzerland, pp. 490-501 |
Sách, tạp chí |
Tiêu đề: |
Proceedings of the 21st International Conference on Very Large Databases |
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[17] Faloutsos, C., Ranganathan, M., Manolopoulos, Y., 1994, Fast Subsequence Matching in Time-Series Databases, Proceedings of the 14th ACM SIGMOD International Conference on Management of Data (SIGMOD 1994), May 24- 27, pp. 419-429 |
Sách, tạp chí |
Tiêu đề: |
Proceedings of the 14th ACM SIGMOD International Conference on Management of Data (SIGMOD 1994) |
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[18] Chan, K., Fu, A. W., 1999, Efficient time series matching by wavelets, Proceedings of the 15th IEEE International Conference on Data Engineering, Sydney, Australia, pp. 126-133 |
Sách, tạp chí |
Tiêu đề: |
Proceedings of the 15th IEEE International Conference on Data Engineering |
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[19] Keogh, E., Chu, S., Hart, D., Pazzani, M., 2001, An online algorithm for segmenting time series, Proceedings of the IEEE International Conference on Data Mining, California, USA, pp. 289-296 |
Sách, tạp chí |
Tiêu đề: |
Proceedings of the IEEE International Conference on Data Mining |
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[20] Keogh, E., Chakrabarti, K., Pazzani, M. and Mehrotra, S., 2001, Dimensionality reduction for fast similarity search in large time series databases, Journal of Knowledge and Information Systems, Vol. 3, No. 3, pp. 263-286 |
Sách, tạp chí |
Tiêu đề: |
Journal of Knowledge and Information Systems |
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[21] Keogh, E., Chakrabarti, K., Pazzani, M. and Mehrotra, S, 2001, Locally adaptive dimensionality reduction for indexing large time series databases, Proceedings of the 2001 ACM SIGMOD Conference on Management of Data, May 21-24, pp. 151-162 |
Sách, tạp chí |
Tiêu đề: |
Proceedings of the 2001 ACM SIGMOD Conference on Management of Data |
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[31] Keogh, E. and Folias, T., 2015, The UCR Time Series Data Mining Archive, [http://www.cs.ucr.edu/~eamonn/TSDMA/index.html] |
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