Date of Publication :8th August 2024

Abstract:This project aims to establish a framework for social data analysis, with a particular emphasis on leveraging criminal records and applying descriptive computational techniques such as associative algorithms and decision tree rule extraction. The methods and tools discussed in this work will enable the identification of patterns, providing a guided means to recognize similarities between recurring situations in the social sphere, utilizing descriptive techniques and data visualization. The study area has been defined as the city of São Paulo, focusing on the structuring of social data and the quality of the information. A set of tools will be validated, including the use of databases and visualization tools for the results. Among the main deliverables of the project are the discoveries made during the research phase. The effectiveness and utility of the results will rely on studies involving real data, validated both by domain experts and through the identification and comparison of the patterns found in this study with.

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