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A seleção de atributos e o aprendizado supervisionado de redes bayesianas no contexto da mineração de dados
(Universidade Federal de São Carlos, 2007-10-29)
The Knowledge Discovery in Databases (KDD) techniques have grown from the need for obtain more information about the data stored by organizations, such as, enterprise companies and research institutes. Bayesian Networks ...
Mineração multi-relacional: o algoritmo GFP-growth
(Universidade Federal de São Carlos, 2006-05-25)
Data mining is the phase of the knowledge discovery in database process where an
algorithm is applied to the available data, in order to prove a hypothesis or discover a still
unknown pattern. The traditional data mining ...
Aprendizado supervisionado incremental de redes bayesianas para mineração de dados
(Universidade Federal de São Carlos, 2007-08-29)
The objective of this work is to introduce two algorithms for supervised Bayesian network incremental learning, AIP (Algorithm for simple Bayesian network numerical parameters supervised incremental learning) and ABC
(Algorithm ...
Algoritmo narfo para mineração de regras de associação generalizadas não redundantes baseada em uma ontologia difusa
(Universidade Federal de São Carlos, 2009-04-29)
Traditional approaches for mining generalized association rules are based only on database contents, and focus on exact matches among items. However, in many applications, the use of some background knowledge, as ontologies, ...