Partial elastic matching of time series

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2005, Pages 701-704

  Latecki, Longin Jan ^a   Megalooikonomou, Vasileios ^a   Wang, Qiang ^a   Lakaemper, Rolf ^a   Ratanamahatana, C A ^b   Keogh, E ^b  

^a Temple University   (United States)

^b University of California Riverside

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; GRAPH THEORY; PATTERN MATCHING; PROBLEM SOLVING;

MATCHING SUBSEQUENCES; PARTIAL ELASTIC MATCHING; TIME SERIES VALUES;

TIME SERIES ANALYSIS;

EID: 33645688167     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2005.118     Document Type: Conference Paper

References (15)

1. J. Aach and G. Church. Aligning gene expression time series with time warping algorithms. Bioinformatics, 17:495-508, 2001.
2. D. Berndt and J. Clifford. Using dynamic time warping to find patterns in time series. In Proc. AAAI-94 W. on Knowledge Discovery and Databases, pages 229-248, 1994.
3. B. Chiu, E. Keogh, and S. Lonardi. Probabilistic discovery of time series motifs. In Proc. ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, Washington, 2003.
4. S. Chu, E. Keogh, D. Hart, and M. Pazzani. Iterative deepening dynamic time warping for time series. In Proc. SIAM Int. Conf. on Data Mining, 2002.
5. G. Das, D. Gunopoulos, and H. Mannila. Finding similar timie series. In Proc. 1st PKDD Symposium, pages 88-100, 1997.
6. F. Höppner. Discovery of temporal patterns, learning rules about the qualitative behavior of time series. In Proc. European Conf. on Principles and Practice of Knowledge Discovery in Databases, pages 192-203, Freiburg, 2001.
7. E. Keogh, S. Lonardi, and C. Ratanamahatana. Towards parameter-free data mining. In Proc. ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, Seattle, 2004.
8. G. Kollios, M. Vlachos, and D. Gunopoulos. Discovering similar multidimensional trajectories. In Proc. Int. Conf. on Data Engineering, pages 673-684, San Jose, 2002.
9. L. J. Latecki, V. Megalooikonomou, Q. Wang, R. Lakaemper, C. A. Ratanamahatana, and E. Keogh. Elastic partial matching of time series. In Conf. PKDD, 2005.
10. V. Megalooikonomou, Q. Wang, G. Li, and C. Faloutsos. A multiresolution symbolic representation of time series. In Proc. IEEE Int. Conf. on Data Engineering (ICDE05), pages 668-679, Tokyo, 2005.
11. D. Rafiei. On similarity-based queries for time series data. In Proc. Int. Conf. on Data Engineering, pages 410-417, Sydney, 1999.
12. C. A. Ratanamahatana and E. Keogh. Everything you know about dynamic time warping is wrong. In W. on Mining Temporal, and Sequential. Data, Seattle, 2004.
13. H. Sakoe and S. Chiba. Dynamic programming algorithm optimization for spoken word recognition. IEEE Trans. on Acoustics, Speech, and Signal Processing, 26(1):43-49, 1978.
14. M. Vlachos, M. Hadjieleftheriou, D. Gunopoulos, and E. Keogh. Indexing multi-dimensional time-series with support for multiple distance measures. In Proc. of ACM SIGKDD, pages 216-225, Washington, 2003.
15. B. Yi, K. Jagadish, and C. Faloutsos. Efficient retrieval of similar time sequences under time warping. In Proc. Int. Conf. on Data Engineering, pages 23-27, 1998.