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Processing Temporal and Time Series Data: Present State and Future Challenges
Conference proceeding   Peer reviewed

Processing Temporal and Time Series Data: Present State and Future Challenges

Johann Gamper and Anton Dignös
Advances in Databases and Information Systems: 24th European Conference, ADBIS 2020, Lyon, France, August 25–27, 2020, Proceedings, Vol.12245, pp.8-14
Lecture Notes in Computer Science, 12245
24th European Conference on Advances in Databases and Information Systems (ADBIS) (Lyon, 25/08/2020–27/08/2020)
2020
DOI: https://doi.org/10.1007/978-3-030-54832-2_2
Handle:
https://hdl.handle.net/10863/45490

Abstract

Temporal databases Time series
Temporal data is ubiquitous, and its importance has been witnessed by the research efforts for several decades as well as by the increased interest in the last years from both academia and industry. Two prominent research directions in this context are the field of temporal databases and the field of time series data. This extended abstract aims at providing a concise overview about the state of the art in processing temporal and time series data as well as to discuss open research problems and challenges.
url
https://link.springer.com/chapter/10.1007/978-3-030-54832-2_2View

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