The Data Mining Technology Applications for Modeling the Unevenness of Socio-Economic Development of Regions

Abstract

Bulatova, O. et al. "Modeling of the Control System of Business Processes of Management of Region as an Economic Entity" Advances in Economics, Business and Management Research : 7 th International Conference on Modeling, Development and Strategic Management of Economic System. Atlantis Press, 2019. https://www. researchgate.net/publication/336724044_Modeling_ of_the_Control_System_of_Business_Processes_of_ Management_of_Region_as_an_Economic_Entity Eichengreen, B., and Rose, A. K. "Staying Afloat When the Wind Shifts: External Factors and Emerging-Market Banking Crises". NBER Working Paper. 1998. https:// www.nber.org/papers/w6370.pdf Konchyn, V. I., and Maksymenko, M. V. "Prychyny ta proiavy borhovoi kryzy v YeS i supernytski pidkhody antykryzovoi polityky" [Causes and Manifestations of the Debt Crisis in the EU and Rival Approaches to Anti-crisis Policy]. Visnyk [Kyivskoho instytutu biznesu ta tekhnolohii]

The Architecture of College Psychological Teaching Management System Based on Data Mining Technology

“…It takes the behavior of the model as nodes and the values of the behavior as branches. e root node is the attribute with the most common data in each model, and the page is the value of the model [13]. A decision tree is a tree structure similar to the structure of the branches, in which each interior of the tree corresponds to the test of the determination of the structure in the form of milk (1).…”

Application of Data Mining Technology in Enterprise Green Innovation Model Construction and Path Analysis

“…In the database field, the term data mining is more recognized, so data mining is also known as database knowledge discovery [ 17 ]. The research results of Chavets L O, Chahovets V V, and Didenko A S show that from a technical point of view, data mining can be regarded as a collection of a series of advanced algorithms, mathematical models, and systems [ 18 ]. Through the use of various data mining algorithms, the interpretation of potential classification relations, clustering relations, and regular relations of data can be realized, so as to realize high mining of data value, and help decision makers in various industries to make more scientific and reasonable decisions according to the interpretation and prediction of these data.…”