Decision-making Technology Based on Big Data

Краснопрошин, В. В.; Вальвачев, А. Н.

doi:10.1134/s1054661820020169

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…Interpreting and evaluating results is an integral part of the entire data mining process. It can be seen that the entire data mining process is an iterative process until a solution to the target problem is found to meet customer needs [ 20 ].…”

Section: Methodsmentioning

confidence: 99%

Big Data Technology in the Macrodecision-Making Model of Regional Industrial Economic Information Applied Research

Lin

2022

Computational Intelligence and Neuroscience

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In the era of Internet +, modern industry has developed rapidly, the network economy has promoted the great development of the industrial economy, and the traditional industrial economic statistics method has not been suitable for the development needs of modern enterprises. In today’s society, it can be described as the era of big data, the use of big data technology for industrial economic statistics is needed for the development of industrial modernization, and it is also a new requirement for industrial economic statistics put forward by social development. With the wide application of Internet of Things, cloud computing, mobile Internet, remote sensing, and geographic information technology in the economic field, precise economic policies have gradually developed and matured. Especially for different industries in the regional economy, according to the big data in the region, the big data mining technology and analysis technology can be used to obtain the development situation and future trend of the industrial economy in a timely and effective manner. Applying big data technology to macrodecision of regional economic information is an effective way to make macrodecision of current economy. Based on this background, this paper proposes a macroeconomic decision-making method for regional industries based on big data technology. Using data mining technology, time series data analysis methods combined with artificial intelligence analysis, the development trend of regional industries is obtained, and then the development trend of the industry is obtained. Development makes macroeconomic decisions. Taking agriculture as an example, the most popular analysis of the price trend of a certain agricultural product provides an effective reference for the development strategy of this agricultural product. The results show that the method proposed in this paper can effectively apply big data technology to the macrodecision-making of regional industrial economy. And it has better promotion significance.

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Section: Methodsmentioning

confidence: 99%

Big Data Technology in the Macrodecision-Making Model of Regional Industrial Economic Information Applied Research

Lin

2022

Computational Intelligence and Neuroscience

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“…The COVID-19 spread triggered physiological as well as psychological ailments, including depression and post-traumatic stress disorder (PTSD) (Castelli et al 2020 ). There are several computational methods, including intelligent data analysis and informatics for identifying disease spread pattern, diffusion analysis, and decision making (Gurevich and Zhuravlev 2014 ; Vissia et al 2020 ; Veera Krishna 2020 ). Moreover, case studies over various countries across the world started to be conducted for analysing the growth phenomena of the pandemic (Sebhatu et al 2020 ; Sinha and Rathi 2021 ; Zemtsov and Baburin 2020 ).…”

Section: Background Studymentioning

confidence: 99%

PSIR: a novel phase-wise diffusion model for lockdown analysis of COVID-19 pandemic in India

Sinha

2021

Int J Syst Assur Eng Manag

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The Urgency of Policy Formulation: Dynamics of Covid-19 Handling and Big Data

Suhermanto

Sihidi

2021

IOP Conf. Ser.: Earth Environ. Sci.

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This paper attempts to discuss the role of big data to formulate policies in responding to social and economic threats due to Covid-19 pandemic in Indonesia. The use of big data as a primary source is based on the dynamic of spreading cases in other countries that were suddenly flared. Those primary resources are online or open data such as population, social economic condition and infection case. In related indicators, population is a big portrait of the countries, thus we observed the number of new infection per day, month and how it impacts the economy. The research problem is how big data is used to formulate policy during the Covid-19 time. We use Decision Theory under Uncertainty to explain three indicators that influence decision-making under Covid-19. This research applied Machine Learning R and SIR Model to obtain the latest data. The argument is that big data can be used as a base resource for the policy formulation and decision-making. In this case, base resource refers to first input in the policy formulation process as well as input and output information in the decision-making process.

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Decision-making Technology Based on Big Data

Cited by 4 publications

References 5 publications

Big Data Technology in the Macrodecision-Making Model of Regional Industrial Economic Information Applied Research

Big Data Technology in the Macrodecision-Making Model of Regional Industrial Economic Information Applied Research

PSIR: a novel phase-wise diffusion model for lockdown analysis of COVID-19 pandemic in India

The Urgency of Policy Formulation: Dynamics of Covid-19 Handling and Big Data

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