Performance Impact of Parallel Access of Time Series in the Context of Relational, NoSQL and NewSQL Database Management Systems-Reference-Cited by-同舟云学术

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Performance Impact of Parallel Access of Time Series in the Context of Relational, NoSQL and NewSQL Database Management Systems

Published:2023-07-19 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)
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Author:

Pritz Sebastian¹,Zeinzinger Martina¹,Praschl Christoph¹,Krauss Oliver¹,Harrer Martin²

Affiliation:

1. University of Applied Sciences Upper Austria,Research and Development Department,Austria

2. University of Applied Sciences Upper Austria,Department for Digital Media,Austria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10252163/10252090/10253446.pdf?arnumber=10253446

Reference32 articles.

1. sktime: A unified interface for machine learning with time series;löning,2019

2. Tslearn, a machine learning toolkit for time series data;tavenard;J Mach Learn Res,2020

3. A relational model of data for large shared data banks

4. Detecting aberrant values and their influence on the time series forecast;b?rbulescu;2021 International Conference on Electrical Computer Communications and Mechatronics Engineering (ICECCME),2021

5. Benchmarking time series databases with iotdb-benchmark for iot scenarios;liu,2019

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