Socioeconomic indicators and innovative countries associated with data mining evidence

• Published in: SN Business & Economics Vol. 3; no. 2
• Main Authors: de Souza, Camilla Bruna Dias, da Hora, Henrique Rego Monteiro, Azevedo Filho, Edson Terra
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 19.01.2023
• Subjects: Business and Management; Economics; Finance; Review; Innovation; Ranking; Economic indicators; Data mining; J48C
• ISSN: 2662-9399; 2662-9399
• DOI: 10.1007/s43546-022-00418-9

This paper analyzes the aspects that contribute to the success of an innovative environment taking as reference 119 socio-economic indicators of historical development that have been made available in various databases from 1960 until 2020. The data was associated with 32 economies in the ranking of the most innovative countries in the seven world regions. The chosen method of mining this data in the J48 consolidated algorithm. This tool highlights the most relevant socio-economic indicators in the early years of the decades from 1960 to 2020. The indicators were based on the Global Innovation Index (GII 2020) report. It is possible to observe in the results a logical sequence in the indicators reported in economic development in the decade approach. In addition, demographic control of labor availability, relevance in the productivity of high and medium-technology goods, and government efficiency are notorious aspects of this innovation process. Many pieces of research correlated with each year, and each indicator corroborates the results found herein. They also show how data mining can contribute as a resource in the elaboration of public policies, in the learning process for constructing business models, and in the decision-making towards development using innovation to search for better living conditions for people worldwide.