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Article

Querying Shapes of Histories

Published: 11 September 1995 Publication History

Abstract

No abstract available.

References

[1]
{1} R. Agrawal, G. Psaila, E. L. Wimmers, and M. Zaït. Querying shapes of histories. IBM Research Report RJ 9962 (87921), IBM Almaden Research Center, San Jose, California, June 1995.
[2]
{2} Donald J. Berndt, James Clifford: Using Dynamic Time Warping to Find Patterns in Time Series. KDD Workshop 1994: 359-370.
[3]
{3} Sharma Chakravarthy, V. Krishnaprasad, Eman Anwar, S.-K. Kim: Composite Events for Active Databases: Semantics, Contexts and Detection. VLDB 1994: 606-617.
[4]
{4} R. D. Edwards and J. Magee. Technical Analysis of Stock Trends. John Magee, Springfield, Massachusetts, 1966.
[5]
{5} Stella Gatziu, Klaus R. Dittrich: Detecting Composite Events in Active Database Systems Using Petri Nets. RIDE-ADS 1994: 2-9.
[6]
{6} Narain H. Gehani, H. V. Jagadish, Oded Shmueli: Composite Event Specification in Active Databases: Model & Implementation. VLDB 1992: 327-338.
[7]
{7} John E. Hopcroft, Jeffrey D. Ullman: Introduction to Automata Theory, Languages and Computation. Addison-Wesley 1979, ISBN 0-201-02988-X.
[8]
{8} Praveen Seshadri, Miron Livny, Raghu Ramakrishnan: SEQ: A Model for Sequence Databases. ICDE 1995: 232-239.
[9]
{9} Sun Wu, Udi Manber: Fast Text Searching Allowing Errors. Commun. ACM 35(10): 83-91(1992).

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  • (2021)From Sketching to Natural LanguageACM SIGMOD Record10.1145/3471485.347149850:1(51-58)Online publication date: 17-Jun-2021
  • (2019)Putting the Human in the Time Series Analytics LoopCompanion Proceedings of The 2019 World Wide Web Conference10.1145/3308560.3317308(635-644)Online publication date: 13-May-2019
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Information & Contributors

Information

Published In

cover image DL Hosted proceedings
VLDB '95: Proceedings of the 21th International Conference on Very Large Data Bases
September 1995
720 pages

Publisher

Morgan Kaufmann Publishers Inc.

San Francisco, CA, United States

Publication History

Published: 11 September 1995

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View all
  • (2023)Multi-Modal Financial Time-Series Retrieval Through Latent Space ProjectionsProceedings of the Fourth ACM International Conference on AI in Finance10.1145/3604237.3626901(498-506)Online publication date: 27-Nov-2023
  • (2021)From Sketching to Natural LanguageACM SIGMOD Record10.1145/3471485.347149850:1(51-58)Online publication date: 17-Jun-2021
  • (2019)Putting the Human in the Time Series Analytics LoopCompanion Proceedings of The 2019 World Wide Web Conference10.1145/3308560.3317308(635-644)Online publication date: 13-May-2019
  • (2018)ShapesearchProceedings of the VLDB Endowment10.14778/3229863.323623511:12(1962-1965)Online publication date: 1-Aug-2018
  • (2018)Expressive Time Series Querying with Hand-Drawn Scale-Free SketchesProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3173962(1-13)Online publication date: 21-Apr-2018
  • (2016)Classification of auditory brainstem responses through symbolic pattern discoveryArtificial Intelligence in Medicine10.1016/j.artmed.2016.05.00170:C(12-30)Online publication date: 1-Jun-2016
  • (2016)Process monitoring using maximum sequence divergenceKnowledge and Information Systems10.1007/s10115-015-0858-z48:1(81-109)Online publication date: 1-Jul-2016
  • (2014)A novel associative model for time series data miningPattern Recognition Letters10.5555/2748148.274851741:C(23-33)Online publication date: 1-May-2014
  • (2013)Information Retrieval with Time Series QueryProceedings of the 2013 Conference on the Theory of Information Retrieval10.1145/2499178.2499195(56-63)Online publication date: 29-Sep-2013
  • (2013)Case based time series prediction using biased time warp distance for electrical evoked potential forecasting in visual prosthesesApplied Soft Computing10.1016/j.asoc.2012.11.04713:5(2467-2477)Online publication date: 1-May-2013
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