Mineração de dados em dispositivos móveis Android: geração de opções gastronômicas utilizando regras de associação

Abstract

Data mining is an existing concept from the 80s. This area of research has come up in order to identify useful and understandable patterns in large data. One of the main interests of the data mining is the induction of association rules and, one of the most known algorithms is the A priori. However, the main applicability of association rules is in the commercial scope, whereas the exploration of association rules on the personal scope is underachieved. This work presents the use of data mining algorithm A priori, adapted to the Java language, for personal application. The main goal is the generation of gastronomic options for visits and tasting.