Apriori Algorithm
Mostrando 1-5 de 5 artigos, teses e dissertações.
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1. Descoberta automatizada de associações com o uso de algoritmo Apriori como técnica de mineração de dados / Automatic discovery of associations by Apriori data mining technique
Nowadays, the use of modern information systems allows the storage and management of increasingly large amounts of data. On the other hand, the full analysis and the maximum extraction of useful information from this universe of available data present considerable challenges in view of inherent human limitations. This dissertation deals with the subject of d
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 25/02/2011
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2. Integrating time series mining and fractals to discover patterns and extreme events in climate and remote sensing databases.
This thesis presents new methods based on fractal theory and data mining techniques to support agricultural monitoring in regional scale, specifically regions with sugar cane fields. This commodity greatly contributes to the Brazilian economy since it is a viable alternative to replace fossil fuels. Since climate influences the national agricultural producti
2010.. Publicado em: 2011
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3. âPrevisÃo de incidÃncia de Dengue nas cidades brasileiras atravÃs de InteligÃncia Artificialâ
Dengue fever is a tropical disease that causes high impact in the Brazilian society. This paper presents a method for estimating the incidence level of the disease based on demographic and socio-economic data at the municipality grain. A Multi-Layer Perceptron (MLP) neural network estimates the risk of high level of incidence and the rules induced by an adap
Publicado em: 2009
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4. Estudo comparativo entre algoritmos de regras de associação de forma normal e incremental de dados
Now a days the biggest challenge to the Information Technology is to catch a glimpse of the data mining exploration mechanisms to present a detailed analysis with the objective to detect new discoveries in business or market tendencies. Aggregated to this necessity has surged several technicians proposing to realize this job, called Data Mining Technician. A
Publicado em: 2008
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5. Treatment of geophysical data as a non-stationary process
The Kalman-Bucy method is here analized and applied to the solution of a specific filtering problem to increase the signal message/noise ratio. The method is a time domain treatment of a geophysical process classified as stochastic non-stationary. The derivation of the estimator is based on the relationship between the Kalman-Bucy and Wiener approaches for l
Computational & Applied Mathematics. Publicado em: 2003