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Similarity-based queries for time series data
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Source International Conference on Management of Data archive
Proceedings of the 1997 ACM SIGMOD international conference on Management of data table of contents
Tucson, Arizona, United States
Pages: 13 - 25  
Year of Publication: 1997
ISBN:0-89791-911-4
Also published in ...
Authors
Davood Rafiei  Department of Computer Science, University of Toronto
Alberto Mendelzon  Department of Computer Science, University of Toronto
Sponsor
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 11,   Downloads (12 Months): 81,   Citation Count: 70
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ABSTRACT

We study a set of linear transformations on the Fourier series representation of a sequence that can be used as the basis for similarity queries on time-series data. We show that our set of transformations is rich enough to formulate operations such as moving average and time warping. We present a query processing algorithm that uses the underlying R-tree index of a multidimensional data set to answer similarity queries efficiently. Our experiments show that the performance of this algorithm is competitive to that of processing ordinary (exact match) queries using the index, and much faster than sequential scanning. We relate our transformations to the general framework for similarity queries of Jagadish et al.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
AFS93
 
ALSS95
 
APWZ95
BKSS90
 
EM69
R.D. Edwards and J. Magee. Technical analysis of stock trends. John Magee, Springfield, Massachsetts, 1969.
 
FJMM95
C. Faloutsos, H. V. Jagadish, A. O. Mendelzon, and T. Milo. A signature technique for similarity-based queries, technical report 112530-951110-16TM, AT&T, Murray Hill, NJ, November 1995.
FRM94
 
GK95
Gut84
Jag91
JMM95
 
OS75
RKV95
 
Rot93
William G. Roth. MIMSY: A system for analyzing time series data in the stock market domain. University of Wisconsin, Madison, 1993. Master Thesis.
 
RS92
 
SK83
David Sankoff and Joseph B. Kruskal. Time Warps, String Edits, and Macromolecules: The Theory and Practice o.f Sequence Comparison. Addison-Wesley Publishing Company, 1983.

CITED BY  70

Collaborative Colleagues:
Davood Rafiei: colleagues
Alberto Mendelzon: colleagues