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https://doi.org/10.5753/sbbd.2...
Article . 2020 . Peer-reviewed
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LGPD: A Formal Concept Analysis and its Evaluation

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 28 Sep 2020Publisher:Sociedade Brasileira de Computação - SBCJournal:Anais do XXXV Simpósio Brasileiro de Banco de Dados (SBBD 2020)
Authors: Antônio Diogo Forte Martins; Patrícia Vieira da Silva Barros; José Maria Monteiro; Javam de Castro Machado;

doi: 10.5753/sbbd.2020.13651

LGPD: A Formal Concept Analysis and its Evaluation

Abstract

Nowadays, personal data generated through the use of smart devices are collected and stored by many companies. So, concerns about privacy issues are raised by users. In this context, the Brazilian General Law for the Protection of Personal Data (LGPD) was proposed in 2018. It regulates how any company must store and process personal data. This paper details the results of applying formal concept analysis (FCA) to the LGPD. The goal of applying FCA was to elicit key insights to support software development or re-design in compliance with LGPD. Besides, we propose an automatic manner to apply FCA.

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Average
bronze