RESEARCH OF SCIENTIFIC DATA IN THE FIELD OF ARTIFICIAL INTELLIGENCE

Abstract

Based on current trends, you can see the need for a deeper development of the field related to artificial intelligence. Mainly for information to minimize the occurrence of human error. Today there are many publications that confirm what was said in the above thesis. Unfortunately, it is extremely difficult to imagine the scale of interest in this topic, due to the almost complete absence of visual representations. This fact, combined with a huge amount of information, can cause difficulties not only in the study, but also in the search for materials. In this regard, there is a need for data analysis using the VOSVIEWER program, which is able to create bibliographic networks, representing the visualization of bibliographic lists, and the BIBLIOMETRIX package, which allows for quantitative analysis and statistics of articles in order to find their citation and publication activity. The analyzed materials will be downloaded from the largest bibliographic and abstract database Scopus.