Descoberta de perfis profissionais dos usuários do site StackOverflow

Abstract

Question and answer - based knowledge sharing sites have been growing considerably in recent years, both in terms of number of users and content. One of these sites is the StackOverflow , that has more than 1 million members, addressing several topics in the area of information technology. This large volume of information generated by the users on the site , has produced several studies and analyzes of the data that identify patterns, relationships and trends that are only perceived through a deeper analysis . F rom this information you can take important business decisions. However, this analysis is not an easy task. This work analyzes the data from the surveys of the StackOverflow site to identify the patterns and professional profiles of its users using the pro cess of Knowledge Discovery in database. Techniques of cleaning and pre - processing of the data are applied, followed by clustering using the DBSCAN algorithm, validat ion of the generated patterns and, finally, the analysis and description of the results fo und.