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arXiv · 2107.12884

SimCleaner -- Sistema de Padroniza\c{c}\~ao de Bases de Dados utilizando Fun\c{c}\~oes de Similaridade

Carlos Diego Nascimento Damasceno·Fabio Manoel França Lobato·Elton Rocha Moutinho·Arilene Santos de França·Ivan Ikikame de Oliveira·Ádamo Lima de Santana
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Abstract

The Knowledge Discovery in Database (KDD) process permits the detection of pattern in databases, where this analysis may be compromised if database is not consistent, making necessary the use of data cleaning techniques. This paper presents a tool based in similarity functions to help the preprocessing of databases and it behaved efficiently in the standardization of a System of Public Security of the State of Par\'a database and may be reused with other databases and other data mining projects.

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Carlos Diego Nascimento Damasceno, Fabio Manoel França Lobato, Elton Rocha Moutinho, Arilene Santos de França, Ivan Ikikame de Oliveira, Ádamo Lima de Santana. 2021-07-27. SimCleaner -- Sistema de Padroniza\c{c}\~ao de Bases de Dados utilizando Fun\c{c}\~oes de Similaridade. https://arxiv.org/abs/2107.12884

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