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22nd International Conference on Data Engineering Workshops (ICDEW'06)
New Time Series Data Representation ESAX for Financial Applications
Atlanta, Georgia
April 03-April 07
ISBN: 0-7695-2571-7
| ASCII Text | x | ||
| Battuguldur Lkhagva, Yu Suzuki, Kyoji Kawagoe, "New Time Series Data Representation ESAX for Financial Applications," Data Engineering Workshops, 22nd International Conference on, pp. x115, 22nd International Conference on Data Engineering Workshops (ICDEW'06), 2006. | |||
| BibTex | x | ||
| @article{ 10.1109/ICDEW.2006.99, author = {Battuguldur Lkhagva and Yu Suzuki and Kyoji Kawagoe}, title = {New Time Series Data Representation ESAX for Financial Applications}, journal ={Data Engineering Workshops, 22nd International Conference on}, volume = {0}, year = {2006}, isbn = {0-7695-2571-7}, pages = {x115}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDEW.2006.99}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Data Engineering Workshops, 22nd International Conference on TI - New Time Series Data Representation ESAX for Financial Applications SN - 0-7695-2571-7 SP EP A1 - Battuguldur Lkhagva, A1 - Yu Suzuki, A1 - Kyoji Kawagoe, PY - 2006 KW - null VL - 0 JA - Data Engineering Workshops, 22nd International Conference on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDEW.2006.99
Efficient and accurate similarity searching for a large amount of time series data set is an important but non-trivial problem. Many dimensionality reduction techniques have been proposed for effective representation of time series data in order to realize such similarity searching, including Singular Value Decomposition (SVD), the Discrete Fourier transform (DFT), the Adaptive Piecewise Constant Approximation (APCA), and the recently proposed Symbolic Aggregate Approximation (SAX).
Citation:
Battuguldur Lkhagva, Yu Suzuki, Kyoji Kawagoe, "New Time Series Data Representation ESAX for Financial Applications," icdew, pp.x115, 22nd International Conference on Data Engineering Workshops (ICDEW'06), 2006
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