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Development of the Concept of Management of Economic Systems Processes through Construction and Calling of Machine Learning Models

机译:通过构建和调用机器学习模型来发展经济系统过程的管理概念

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The article proposes an approach to modeling business processes of economic systems based on resource visualization on a business process diagram. The concept of management of economic systems processes based on machine learning has been developed. The method for predicting the route of execution of business processes using machine learning models based on naive Bayesian classifiers is being studied. This will significantly improve the efficiency of planning all the types of resources in the process management. In order to use trained models in real practice, the scheme for deploying machine learning models as web services is presented. The solutions offered by the author will let automatically send data to the trained model using REST API web service and get results in real time.
机译:本文提出了一种基于业务流程图上的资源可视化对经济系统的业务流程进行建模的方法。已经开发了基于机器学习的经济系统过程管理概念。正在研究使用基于朴素贝叶斯分类器的机器学习模型预测业务流程执行路径的方法。这将大大提高在流程管理中计划所有类型资源的效率。为了在实际实践中使用训练有素的模型,提出了将机器学习模型部署为Web服务的方案。作者提供的解决方案将允许使用REST API Web服务自动将数据发送到经过训练的模型,并实时获取结果。

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