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A user-driven association rule mining based on templates for multi-relational data
(2018-01-01)
Data mining algorithms to find association rules are an important tool to extract knowledge from databases. However, these algorithms produce an enormous amount of rules, many of which could be redundant or irrelevant for ...
Geração de conjuntos consistentes de regras para classificação multirrótulo com algoritmo evolutivo multiobjetivo
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2020-06-25)
Multi-label classification a machine learning task whose objective is to generate models capable of learning relationships between descriptive characteristics of objects and the sets of classes to which such objects belong. ...
Automatic Finding Trapezoidal Membership Functions in Mining Fuzzy Association Rules Based on Learning Automata
Association rule mining is an important data mining technique used for discovering relationships among all data items. Membership functions have a significant impact on the outcome of the mining association rules. An ...
Hybrid Path Planning Algorithm Based on Membrane Pseudo-Bacterial Potential Field for Autonomous Mobile Robots
(2019-10-28)
A hybrid path planning algorithm based on membrane pseudo-bacterial potential field (MemPBPF) is proposed. Membrane-inspired algorithms can reach an evolutionary behavior based on biochemical processes to find the best ...
Regras de associação e correlação temporal para popular e detectar Inconsistências em grandes bases de conhecimento
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2017-12-20)
Large growing knowledge bases have been an interesting field in many researches in the
past few years. Most techniques focus on constructing algorithms to help a Knowledge
Base (KB) automatically (or semi automatically) ...
Geração genética multiobjetivo de bases de conhecimento fuzzy com enfoque na distribuição das soluções não dominadas
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2014-12-02)
The process of building the knowledge base of fuzzy systems has benefited extensively
of methods to automatically extract the necessary knowledge from data sets that represent
examples of the problem. Among the topics ...
Estudio de pertinencia de algoritmos en procesos de descubrimiento de reglas de pertenencia a grupos
(Escuela de Posgrado - Facultad Regional Buenos Aires, 2019)
Evolutionary modeling of larval dispersal in blowflies using non-uniform cellular automata
(2006-12-01)
When the food supply flnishes, or when the larvae of blowflies complete their development and migrate prior to the total removal of the larval substrate, they disperse to find adequate places for pupation, a process known ...
Evolutionary modeling of larval dispersal in blowflies using non-uniform cellular automata
(2006-12-01)
When the food supply flnishes, or when the larvae of blowflies complete their development and migrate prior to the total removal of the larval substrate, they disperse to find adequate places for pupation, a process known ...
Boosted lazy associative classifier
(Universidade Federal de Minas GeraisUFMG, 2017-11-14)
Lazy machine learning algorithms have to learn every time it is been given a new example, however knowing which example is being classified gives them the advantage of adjusting their knowledge search accordingly. The Lazy ...