This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Recommended Reading
Agrawal R, Faloutsos C, Swami AN Efficient similarity search in sequence databases. In: Proceedings of the 4th International Conference on Foundations of Data Organization and Algorithms; 1993. p. 69–84.
Chan KP, Fu AW-C. Efficient time series matching by wavelets. In: Proceedings of the 15th International Conference on Data Engineering; 1999. p. 126–33.
Chen Y, Nascimento MA, Ooi BC, Tung AKH. Spade: on shape-based pattern detection in streaming time series. In: Proceedings of the 23rd International Conference on Data Engineering; 2007. p. 786–95.
Chen L, Ng R. On the marriage of lp-norms and edit distance. In: Proceedings of the 30th International Conference on Very Large Data Bases; 2004. p. 792–803.
Das G, Gunopulos D, Mannila H. Finding similar time series. In: Principles of Data Mining and Knowledge Discovery, 1st European Symposium; 1997. p. 88–100.
Faloutsos C, Ranganathan M, Manolopoulos Y. Fast subsequence matching in time-series databases. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 1994. p. 419–29.
Gao L, Wang XS. Continuous similarity-based queries on streaming time series. IEEE Trans Knowl Data Eng. 2005;17(10):1320–32.
Keogh EJ, Pazzani MJ. Scaling up dynamic time warping for datamining applications. In: Proceedings of the 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; 2000. p. 285–89.
Keogh EJ, (Ann) Ratanamahatana C. Exact indexing of dynamic time warping. Knowl Inform Syst. 2005;7(3):358–86.
Korn F, Jagadish HV, Faloutsos C. Efficiently supporting ad hoc queries in large datasets of time sequences. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 1997. p. 289–300.
Qu Y, Wang C, Gao L, Wang XS. Supporting movement pattern queries in user-specified scales. IEEE Trans Knowl Data Eng. 2003;15(1):26–42.
Rafiei D, Mendelzon A. Similarity-based queries for time series data. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 1997. p. 13–25.
Revesz P, Chen R, Ouyang M. Approximate query evaluation using linear constraint databases. In: Proceedings of the 8th International Symposium on Temporal Representation and Reasoning; 2001. p. 170–75.
Yi B-K, Faloutsos C. Fast time sequence indexing for arbitrary LP norms. In: Proceedings of the 26th International Conference on Very Large Data Bases; 2000. p. 385–94.
Zhu Y, Shasha D. Statstream: statistical monitoring of thousands of data streams in real time. In: Proceedings of the 28th International Conference on Very Large Data Bases; 2002. p. 358–69.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Section Editor information
Rights and permissions
Copyright information
© 2018 Springer Science+Business Media, LLC, part of Springer Nature
About this entry
Cite this entry
Gao, L., Wang, X.S. (2018). Time Series Query. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_428
Download citation
DOI: https://doi.org/10.1007/978-1-4614-8265-9_428
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-8266-6
Online ISBN: 978-1-4614-8265-9
eBook Packages: Computer ScienceReference Module Computer Science and Engineering