Desenvolvimento de novas técnicas de extração de conjuntos de similaridade para relações não simétricas
The main mathematical foundation of database management systems is the set theory. In a set, there are no pairs of equal elements. However, the exact comparison between complex data does not provide relevant information, and it is preferable to use comparisons by similarity. The concept of similarit...
| Autor principal: | Alessi, André Eduardo |
|---|---|
| Formato: | Trabalho de Conclusão de Curso (Graduação) |
| Idioma: | Português |
| Publicado em: |
Universidade Tecnológica Federal do Paraná
2022
|
| Assuntos: | |
| Acesso em linha: |
http://repositorio.utfpr.edu.br/jspui/handle/1/27551 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|
| Resumo: |
The main mathematical foundation of database management systems is the set theory. In a set, there are no pairs of equal elements. However, the exact comparison between complex data does not provide relevant information, and it is preferable to use comparisons by similarity. The concept of similarity sets was created to represent the idea of a set where there are no pairs of sufficiently similar elements. The theoretical basis of the similarity sets concept has been extended to address asymmetric similarity relations in this research. A new technique for the extraction of similarity sets, formally defined as algorithm Asymmetric Distinct, was developed and validated in two experiments. The technique was considered stable and scalable and allows for new research based on this study. |
|---|