Development of the Concept of Management of Economic Systems Processes through Construction and Calling of Machine Learning Models
| Autor: | Natalya A. Kulagina, Oleg D. Kazakov, Svetlana N. Shlapakova, Sergey P. Novikov |
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| Rok vydání: | 2018 |
| Předmět: |
Scheme (programming language)
Computer science business.industry Business process computer.software_genre Machine learning Data modeling Visualization Process management (computing) Naive Bayes classifier Resource (project management) Artificial intelligence Web service Economic system business computer computer.programming_language |
| Zdroj: | 2018 IEEE International Conference "Quality Management, Transport and Information Security, Information Technologies" (IT&QM&IS). |
| DOI: | 10.1109/itmqis.2018.8524985 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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