Web System as Support to Automate Processes of the Administrative Area of the Pre-University Center

Jean Williams Osco Pupe, Igor Aguilar-Alonso
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Abstract

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.
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网络系统对大学预科中心行政管理自动化的支持
技术进步提供了新的方法来减少组织内部流程流的成本和时间。然而,在教育领域,他们中的大多数人仍然有单调的流程,需要人工控制和监督,而且他们没有正确使用这些技术,这使得他们无法改善他们的工作流程。在这些技术中出现了过程的自动化,主要是寻求由系统或软件自动执行多个任务。通过使用允许某些过程自动化的网络系统,将有可能使该机构的目标与当前的社会形势保持一致。本文的目的是展示集成机器学习技术的web架构实现的主要研究,对当前的web标准及其与新技术的集成有一个全面的方法。使用的方法是搜索和回顾近年来发表的将web架构与机器学习技术结合起来实现的文章。在文章的评审中,共获得56篇文章,从中选择了20篇文章用于本文的写作。这项研究的结果是提出了一个web架构模型,该模型允许基于文献综述中发现的主要架构的流程自动化和机器学习的集成。
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