Casual discovery: an introduction

Cavique, Luís

http://hdl.handle.net/10400.2/16133

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Authors

Cavique, Luís

Abstract(s)

This document aims to complement the bibliography of the Data Knowledge Extraction (Data Mining) curricular unit offered in the MEIW (Mestrado em Engenharia Informática e Tecnologia Web) and MBB (Mestrado em Bioestatística e Biometria) masters courses. Causal discovery aims to identify causal relationships within a given data set. There are various approaches to achieve this, including the PC algorithm. PC algorithm is widely implemented in causal discovery tasks and can be coded to analyze different datasets to verify causal connections. Use cases of the PC algorithm include its application to datasets such as house prices, where it might uncover factors that significantly influence property values, and the Titanic dataset, which can help identify the key factors contributing to survival rates.