Autonomous Data-Driven Integration Algorithm
ICCBDC '20: Proceedings of the 2020 4th International Conference on Cloud and Big Data Computing 2020
Jānis Pekša

In this paper, an autonomous data-driven integration algorithm is the main focus of the Autonomous Open Data Prediction Framework [1]. This paper proposes the autonomous Web Service integration into ERP systems. The paper highlights the Autonomous Open Data Prediction Framework algorithm using flowchart and UML diagrams, also pseudocode of the Kalman filter method, as well as, selection of the appropriate programming language. Described the Autonomous Open Data Prediction Framework API that all programming code is published to the GitHub repository. It is highlighting the lack of forecasting methods offered in ERP systems that have not been able to ensure all the necessary business process opportunities to increase business value.


Keywords
Data-driven integration; autonomous algorithm; integration framework; ERP systems integration.
DOI
10.1145/3416921.3416939
Hyperlink
https://dl.acm.org/doi/10.1145/3416921.3416939

Pekša, J. Autonomous Data-Driven Integration Algorithm. In: ICCBDC '20: Proceedings of the 2020 4th International Conference on Cloud and Big Data Computing, United Kingdom, Liverpool, 26-28 August, 2020. New York: ACM, 2020, pp.63-67. ISBN 978-1-4503-7538-2. Available from: doi:10.1145/3416921.3416939

Publication language
English (en)
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