Testing of data analysis system for technology of forecasting of harmful substances

Бушма, Олександр Володимирович and Голуб, Белла Львівна and Гудзь, Олександр Володимирович (2021) Testing of data analysis system for technology of forecasting of harmful substances Математичні машини і системи, 2021 (3). pp. 113-120. ISSN 1028-9763

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The issue of product safety is acute in many countries and companies. After all, from the consumption of products contaminated with harmful substances, every year a large number of people get various diseases. To increase the safety of products, technologies are needed that allow rapid testing of products and, based on the results obtained, to warn of the appearance of harmful substances. Today, the world is actively developing biosensor technologies for rapid testing of agricultural products. The use of data mining technologies can provide the discovery of new knowledge about the nature and dependence of external factors of various harmful substances. The article considers the issues of construction and testing of forecasting technology, which include analysis of existing solutions, search for predictive models, use of Data Mining methods to find qualitatively new knowledge and hypotheses, hypothesis testing. The first section of the article provides an overview of existing models and methods, formulas for calculating the risk of aflatoxin. The second section provides a brief description of the data collection system, which consists of a data warehouse, sensors and a mobile application as a data source. The results of data mining using Data Mining methods are presented in the third section. As a result, a hypothesis of the effect on the appearance of mycotoxins in crops was obtained. Confirmation or refutation of the hypothesis was performed by testing it using OLAP-technology. The results of the hypothesis test are presented in the last, fourth section. The main result of the work is to obtain a data analysis system that is ready for testing in real conditions. However, it should be noted that more extensive testing on large amounts of data is needed, but it is possible to accumulate over several years of observations.

Item Type: Article
Uncontrolled Keywords: information management; data warehouse; real-time data analysis; data mining; OLAP and Data Minin technologies; mycotoxins
Subjects: Це архівна тематика Київського університету імені Бориса Грінченка > Статті у журналах > Фахові (входять до переліку фахових, затверджений МОН)
Divisions: Це архівні підрозділи Київського університету імені Бориса Грінченка > Кафедра комп'ютерних наук і математики
Depositing User: Dr. Sci. Aleksandr / A..V. Bushma
Date Deposited: 11 Oct 2021 06:58
Last Modified: 11 Oct 2021 06:58
URI: https://elibrary.kubg.edu.ua/id/eprint/37413

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