THÔNG TIN TÀI LIỆU
Thông tin cơ bản
Định dạng | |
---|---|
Số trang | 87 |
Dung lượng | 5,45 MB |
Nội dung
Ngày đăng: 27/01/2021, 13:50
Nguồn tham khảo
Tài liệu tham khảo | Loại | Chi tiết | ||
---|---|---|---|---|
[22] E. Keogh, X. Xi, L. Wei, & C.A. Ratanamahatana. The UCR Time series Classification/Clustering Homepage: www.cs.ucr.edu/~eamonn/time_series_data,2006 | Sách, tạp chí |
|
||
[23] Web page for Analysis of Financial Time Series http://faculty.chicagobooth.edu/ruey.tsay/teaching/fts/ | Link | |||
[1] M. Kontaki, A. N. Papadopoulos, Y. Manolopoulos, Similarity search in time series database, Data Enginering Lab, Department of Informatics, Aristotle University, 54124 Thessaloniki, Greece, 2005 | Khác | |||
[2] Yi Lin, M. D. McCool, A. A. Ghorbani, Motif and Anomaly Discovery of Time Series Based on Subseries Join, Proceedings of the International MultiConference of Engineers and Computer Scientists, Hong Kong, 2010 | Khác | |||
[3] P. G. Ferreira, P. J. Azevedo, C. G. Silva, R. M.M. Brito, Mining Approximate Motifs in Time Series, Proceedings of the 9 th International Conference on Discovery Science, Barcelonas Spain, 2006 | Khác | |||
[4] Y. Lin, Subseries Join and Compression of Time Series Data Based on Non- uniform Segmentation, Ph.D. Dissertation, School of Computer Science, University of Waterloo, 2008 | Khác | |||
[5] B. Chiu, E. Keogh, and S. Lonardi, Probabilistic Discovery of Time Series Motifs, Proceedings of the 9 th International Conference on Knowledge Discovery and Data Mining (KDD'03), 2003, pp. 493-498 | Khác | |||
[6] J. Lin, E. Keogh, S. Lonardi, P. Patel, Finding Motifs in Time Series, Proceedings of 2 nd Workshop on Temporal Data Mining, at the 8 th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002 | Khác | |||
[7] A. Mueen, E. Keogh, Q. Zhu, S. Cash, and B.West-over, Exact Discovery of Time Series Motifs, SIAM International Conference on Data Mining (SDM'09), 2009 | Khác | |||
[8] D. Yankov, E. Keogh, J. Medina, B. Chiu, and V. Zordan, Detecting Time Series Motifs under Uniform Scaling, Proceedings of the 13rd Inter-national Conference on Knowledge Discovery and Data Mining (SIGKDD'07), 2007, pp. 844-853 | Khác | |||
[9] E. Keogh, T. Palpanas, V. Zordan, D. Gunopulos, and M. Cardle, Indexing large human-motion databases, Proceedings of the 30th International Conference on Very Large Data Bases (VLDB'04), 2004, pp. 780-791 | Khác | |||
[10] R. Agrawal, C. Faloutsos, A. Swami, Efficient similarity search in sequence databases, in Proceedings of the 4th International Conference on Foundation of Data Orgnization and Algorithms (FODO „93), Chicago Illinois, USA, October 13- 15, 1993, pp. 69-84 | Khác | |||
[11] K. Chan, J. Clifford, Efficient time series matching by wavelets, in Proceeding of 15 th IEEE International Conference on Data Engineering (ICDE1999), March 23-26, 1999, pp. 126-133 | Khác | |||
[12] E. Keogh, K. Chakrabarti, M. Pazzani, S. Mehrotra, Dimensionality reduction for fast similarity search in large time series databases, in Knowledge and Information Systems, vol. 3, no. 3, 2000, pp. 263-286 | Khác | |||
[13] E. Keogh, K. Chakrabarti, M. Pazzani, S. Mehrotra, Locally adaptive dimensionality reduction for indexing large time series databases, in Proceedings of 2001 ACM SIGMOD Conference on Management of Data, May 21-24 2001, pp. 151-162 | Khác | |||
[14] E. Keogh, M. Pazzani, An enhanced representation of time series with allows fast and accurate classification, clustering and relevance feedback, in Proceedings of 4 th International Conference on Knowledge Discovery and Data Mining, New York, USA, Aug 27-31, 1998, pp. 239-241 | Khác | |||
[15] E. Keogh, S. Chu, D. Hart, M. Pazzani, An online algorithm for segment time series, in Proceedings of IEEE International Conference on Data Mining (ICDM‟01), San Jose, Califonia, USA, 29 Nov 2001 – 02 Dec 2001, pp. 289-296 | Khác | |||
[16] M. Tompa, J. Buhler, Finding motifs using random projections, In proceedings of the 5th Int‟l Conference on Computational Molecular Biology.Montreal, Canada, Apr 22-25 2001, pp 67-74 | Khác | |||
[17] P. Perona, J. Malik, Scale-space and Edge Detection using Anisotropic Diffusion, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.12, No. 7, 1990, pp. 629-639 | Khác | |||
[18] J. Canny, A Computational Approach to Edge Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 8, No. 6, 1986, pp. 679-698 | Khác |
TÀI LIỆU CÙNG NGƯỜI DÙNG
TÀI LIỆU LIÊN QUAN