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Shapelet Classification Algorithm Based on Efficient Subsequence Matching Cover

Shapelet Classification Algorithm Based on Efficient Subsequence Matching

Open Access
|Mar 2018

References

  1. Aghabozorgi, S and Wah, T Y 2014 Clustering of large time series datasets. Intelligent Data Analysis, 18(5): 793817.
  2. Aljumeily, D and Hussain, A J 2015 The performance of immune-based neural network with financial time series prediction. Cogent Engineering, 2(1): 985005.
  3. Bagnall, A, Davis, L, Hills, J and Lines, J 2012 Transformation Based Ensembles for Time Series Classification. DOI: 10.1137/1.9781611972825.27
  4. Batista, G E A P A, Wang, X and Keogh, E J 2011 A Complexity-Invariant Distance Measure for Time Series. In: Eleventh Siam International Conference on Data Mining, 699710. SDM 2011, April 28–30, Mesa, Arizona, Usa. DOI: 10.1137/1.9781611972818.60
  5. Begum, N and Keogh, E 2014 Rare time series motif discovery from unbounded streams, VLDB Endowment. DOI: 10.14778/2735471.2735476
  6. Bettaiah, V and Ranganath, H S 2014 An effective subsequence-to-subsequence time series matching approach. In: Science and Information Conference, 112122. DOI: 10.1109/SAI.2014.6918179
  7. Buza, K A 2011 Fusion methods for time-series classification, Ph.D. thesis. University of Hildesheim, Germany.
  8. Deng, H, Runger, G, Tuv, E and Vladimir, M 2013 A time series forest for classification and feature extraction. Information Sciences, 239(4): 142153. DOI: 10.1016/j.ins.2013.02.030
  9. Ding, H, Trajcevski, G, Scheuermann, P, Wang, X and Keogh, E 2008 Querying and mining of time series data. Proceedings of the Vldb Endowment, 1(2): 15421552. DOI: 10.14778/1454159
  10. Esling, P and Agon, C 2012 Time-series data mining. Acm Computing Surveys, 45(1): 134. DOI: 10.1145/2379776.2379788
  11. Hartmann, B and Link, N 2010 Gesture recognition with inertial sensors and optimized DTW prototypes. In: IEEE International Conference on Systems Man and Cybernetics, 21022109.
  12. He, Q, Dong, Z, Zhuang, F, Shang, T and Shi, Z 2012 Fast Time Series Classification Based on Infrequent Shapelets. In: International Conference on Machine Learning and Applications, 215219. DOI: 10.1109/ICMLA.2012.44
  13. Hills, J, Lines, J, Baranauskas, E, Mapp, J and Bagnall, A 2014 Classification of time series by shapelet transformation. Data Mining & Knowledge Discovery, 28(4): 851881.
  14. Jeong, Y S, Jeong, M K and Omitaomu, O A 2011 Weighted dynamic time warping for time series classification. Pattern Recognition, 44(9): 22312240. DOI: 10.1016/j.patcog.2010.09.022
  15. Lines, J and Bagnall, A 2012 Alternative quality measures for time series shapelets, Intelligent data engineering and automated learning (IDEAL), Lect Notes Comput Sci 7435, 475483.
  16. Lines, J, Davis, L M, Hills, J and Bagnall, A 2012 A shapelet transform for time series classification. In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 289297. DOI: 10.1145/2339530.2339579
  17. Mueen, A, Keogh, E and Young, N 2011 Logical-shapelets:an expressive primitive for time series classification. In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 11541162. DOI: 10.1145/2020408.2020587
  18. Petitjean, F, Forestier, G, Webb, G I, Nicholson, A E, Chen, Y and Keogh, E 2015 Dynamic Time Warping Averaging of Time Series Allows Faster and More Accurate Classification. In: IEEE International Conference on Data Mining, 470479. DOI: 10.1109/ICDM.2014.27
  19. Rakthanmanon, T, Campana, B, Mueen, A, Batista, G, Westover, B, Zhu, Q, Zakaria, J and Keogh, E 2012 Searching and mining trillions of time series subsequences under dynamic time warping. In: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, 262270. DOI: 10.1145/2339530.2339576
  20. Rakthanmanon, T and Keogh, E 2013 Fast shapelets: A scalable algorithm for discovering time series shapelets. Proceedings of the 2013 SIAM International Conference on Data Mining. DOI: 10.1137/1.9781611972832.74
  21. Shajina, T and Sivakumar, P B 2012 Human Gait Recognition and Classification Using Time Series Shapelets. In: International Conference on Advances in Computing and Communications, 3134. DOI: 10.1109/ICACC.2012.8
  22. Ye, L and Keogh, E 2009 Time series shapelets: a new primitive for data mining. In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 947956. Paris, France, June 28–July. DOI: 10.1145/1557019.1557122
  23. Ye, L and Keogh, E 2011 Time series shapelets: a novel technique that allows accurate, interpretable and fast classification. Data Mining & Knowledge Discovery, 22(1–2): 149182.
Language: English
Submitted on: Oct 8, 2017
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Accepted on: Feb 2, 2018
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Published on: Mar 1, 2018
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2018 Huiqing Wang, Chun Li, Hongwei Sun, Zhirong Guo, Yingying Bai, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.