Producción intelectual sobre minería de datos y gestión de la información en las fuentes: Scopus y Web Of Science 2018-2022

Abstract

This research work is part of the monograph modality of the Universidad Distrital Francisco José de Caldas and is part of the processes carried out in the Yuyai Arkeion Digital Research Seedbed [YUARDI]. The general objective of this research is to analyze the intellectual production related to data mining and information management in the Scopus and Web of Science sources, during the period between 2018 and 2022. The methodology used in the work corresponds to a quantitative approach, which is based on statistical measures to perform the analysis of the information collected within an investigation. The indicators and equations used to search for information from sources such as Scopus and Web of science will be disclosed. Regarding the type of research, the bibliographic review was carried out in order to establish the objective of the applied research is to try to solve the research question. The method used took into account concepts such as the documentary method, based on the recovery of theoretical and historical information identified in the different sources of information to recognize the most appropriate metrics for data mining and information management. Information registration matrices were used as a collection instrument, in which the data related to the bibliometric indicators were recorded. The result of the matrices was systematized from a set of data linked to the revised indicators. From this instrument, the information collected from topics and authors who have published the most information regarding data mining and information management was analyzed; the countries and years of greatest intellectual production were taken into account. This allowed a balance of the intellectual production on data mining and information management that is found in the third chapter of this work, where the three phases (authors, countries and balance of intellectual production) that are guided by the objectives of the work are described. One of the main results of data mining is its applicability in the field of Archival Science, which makes it a useful tool for study and analysis in the field. In relation to Information Management, it has been observed that this area can be used to manage information in organizations and, in this way, optimize administrative processes. In relation to the intellectual production available by articulating both concepts in the aforementioned databases, a great production was found in the English language; countries such as the United States and China are the ones that produce the most in both areas.