Technological advances have provided new ways to reduce costs and time in process flows within organizations. However, in the education sector, most of them still have monotonous processes that need control and supervision manually, in addition, they do not make proper use of these technologies, which does not allow them to improve their workflow. Within these technologies appears the automation of processes that seeks mainly to perform multiple tasks automatically supported by a system or software. Through the use of a web system that allows the automation of certain processes, it will be possible to align the objectives of the institution with the current social situation. The objective of this article is to show the main studies that implement web architectures integrating machine learning technologies, to have a comprehensive approach to the current web standard and its integration into new technologies. The methodology used was the search and review of articles that implement web architectures together with machine learning technologies, published in recent years. In the review of articles, a total of 56 articles were obtained, of which 20 were selected and used for the writing of this article. The result of this research is the proposal of a web architecture model that allows the automation of processes and the integration of machine learning based on the main architectures found in the literature review.
|Title of host publication
|International Conference of Modern Trends in ICT Industry
|Subtitle of host publication
|Towards the Excellence in the ICT Industries, MTICTI 2021
|Institute of Electrical and Electronics Engineers Inc.
|Published - 2021
|2021 International Conference of Modern Trends in Information and Communication Technology Industry, MTICTI 2021 - Sana'a, Yemen
Duration: 4 Dec 2021 → 6 Dec 2021
|International Conference of Modern Trends in ICT Industry: Towards the Excellence in the ICT Industries, MTICTI 2021
|2021 International Conference of Modern Trends in Information and Communication Technology Industry, MTICTI 2021
|4/12/21 → 6/12/21
Bibliographical notePublisher Copyright:
© 2021 IEEE.
- System web
- machine learning
- process automation
- web architecture