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A comparison of DFT and DWT based similarity search in time-series databases

Published: 06 November 2000 Publication History
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References

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Kin pong Chan and Ada Wai-Chee Fu. Efficient time series matching by wavelets. In Proceedings of the 15th International Conference on Data Engineering, 23-26 March 1999, Sydney, Austrialia, pages 126-133. IEEE Computer Society, 1999.
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R. Agrawal, C. Faloutsos, and A. Swami. Efficient Similarity Search in Sequence Databases. In Proceedings of the 4th Int'l Conference onFoundations of Data Organization and Algorithms, pages 69-84, Chicago, Oct 1993.
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C. Faloutsos, M. Ranganathan, and Y. Manolopoulos. Fast Subsequence MAtching in Time-Series Databases. In Proceedings of the 1994 ACM SIGMOD International Conference on Management of Data, pages 419-429, Minneapolis, May 1994.
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Davood Raffei and Alberto Mendelzon. Similarity-Based Queries for Time Series Data. In Proceedings of the 1997 ACM SIGMOD International Conference on Management of Data, pages 13-24, Tucson, Arizona, May 1997.
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Davood Raffei and Alberto Mendelzon. Efficient Retrieval of Similar Time Sequences Using DFT. In Proceedings of the International Conference on Foundations of Data Organizations and Algorithms - FODO 98, Kobe, Japan, November 1998.
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Rakesh Agrawal, King-Ip Lin, Harpreet S. Sawhney, and Kyuseok Shim. Fast Similarity Search inthe Presence of Noise, Scaling, and Translation in Time-Series Databases. In Proceedings of the 21th VLDB Conference, pages 490-501, Zurich, Switzerland, 1995.
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Byoung-Kee Yi, H.V. Jagadish, and Christos Faloutsos. Efficient Retrieval of Similar Time Sequences under Time Warping. In Proceedings of the International Conference on Data Engineering - ICDE 98, pages 201-208, Orlando, Florida, Feburary 1998.
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Sanghyun Park, Wesley W. Chu, Jeehee Yoon, and Chihcheng Hsu. Efficient searches for similar subsequences of different lengths in sequence databases. In Proceedings of the 16th International Conference on Data Engineering, 28 February - 3 March, 2000, San Diego, California, pages 23-32. IEEE Computer Society, 2000.
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Chang-Shing Perng, Haixun Wang, Sylvia R. Zhang, and D. Stott Parker. Landmarks: a new model for similarity-based pattern querying in time series databases. In Proceedings of the 16th International Conference on Data Engineering, 28 February - 3 March, 2000, San Diego, California, pages 33-42. IEEE Computer Society, 2000.
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cover image ACM Conferences
CIKM '00: Proceedings of the ninth international conference on Information and knowledge management
November 2000
532 pages
ISBN:1581133200
DOI:10.1145/354756
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 06 November 2000

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Author Tags

  1. fourier transform
  2. smoothing
  3. time-series analysis
  4. time-series database
  5. time-series matching
  6. wavelet transform

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