Similarity measure for heterogeneous multivariate time-series

European Signal Processing Conference

Volumn 06-10-September-2004, Issue , 2015, Pages 1605-1608

  Duchêne, Florence ^a   Garbay, Catherine ^a   Rialle, Vincent ^a,b  

^a LABORATOIRE TIMC IMAG   (France)

^b HÔPITAL MICHALLON   (France)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION MAKING; TIME SERIES;

COMPLEX APPLICATIONS; DECISION MAKING PROCESS; LONGEST COMMON SUBSEQUENCES; MOVING OBJECTS; MULTI-DIMENSIONAL VECTORS; MULTIVARIATE TIME SERIES; NON-METRIC; SIMILARITY MEASURE;

SIGNAL PROCESSING;

EID: 84979955522     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. R. Agrawal, K. Sawhney, K. Shim, "Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases, " in Proc. of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Zurich, Switzerland, September 1995, pp. 490-501.
2. A. Apostolico, "String editing and longest common subsequence, " G. Rozenberg and A. Salomaa, editors, Handbook of Formal Languages, vol. 2, pp. 36 1-398, Berlin, 1997. Springer Verlag.
3. B. Chiu, E. Keogh, and S. Lonardi, "Probabilistic Discovery of Time Series Motifs, " in Proc. of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 2003, pp. 493-498.
4. G. Das, D. Gunopulos, and H. Mannila, "Finding similar time series, " Principles of Data Mining and Knowledge Discovery, vol. 19, pp. 88-100, 1997.
5. D. S. Hirschberg, "Algorithms for the longest common subsequence problem, " JACM, vol. 24 (4), pp. 664-675, 1977.
6. J. W. Hunt & T. G. Szymanski, "A fast algorithm for computing longest common subsequences, " CACM, vol. 20 (5), pp. 350-353, 1977.
7. E. Keogh, M. Pazzani, "Scaling up Dynamic Time Warping for Datamining Applications, " in Proc. of the 21st Int. Canf. on Very Large Databases, Boston, MA, 2000, pp. 285-289.
8. J. B. Kruskall & M. Libennan, "The symmetric time warping algorithm: From continuous to discrete, " Time Warps, String Edits and Macromolecules, AddisonWesley, 1983.
9. M. Vlachos, G. Kollios, ans G. Gunopulos, "Discovering Similar Multidimensional Trajectories, " in Proc. of the 18th 1CDE, San Jose, CA, 2002, pp. 673-684.