Theory Of Rough Sets
Mostrando 1-6 de 6 artigos, teses e dissertações.
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1. An hybrid architecture for clusters analysis: rough setstheory and self-organizing map artificial neural network
The database of real world contains a huge volume of data and among them there are hidden piles of interesting relations that are actually very hard to find out. The knowledge discovery in databases (KDD) appears as a possible solution to find out such relations aiming at converting information into knowledge. However, not all data presented in the bases are
Pesquisa Operacional. Publicado em: 08/03/2012
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2. Uma nova metodologia para seleção de atributos no processo de extração de conhecimento de base de dados baseada na Teoria de Rough Sets
In this dissertation, a new Feature Selection Subsets methodology is proposed, to be used in the Knowledge Discover in Database process. The databases, dimensioned for specific purposes, own in its essence, the intrinsic knowledge to the system of its application. This knowledge is very valuable and important to take strategical decisions in this system. Thu
Publicado em: 2008
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3. Uma arquitetura híbrida para descoberta de conhecimento em bases de dados: teoria dos rough sets e redes neurais artificiais mapas auto-organizáveis. / An hybrid architecture for the knowledge discovery in databases: rough sets theory and artificial neural nets self-organizing maps.
Databases of the real world contain a huge amount of data within which several relations are hidden. These relations are difficult to discover by means of traditional methods such as worksheets and operational informative reports. Therefore, the knowledge discovery systems (KDD) appear as a possible solution to extract, from such relations, knowledge to be a
Publicado em: 2006
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4. Detection of fraud or measurement error in big electric power s consumers using Rough Sets based in historical data and in data based in real time / Detecção de fraude ou erro de medição em grandes consumidores de energia elétrica utilizando Rough Sets baseado em dados históricos e em dados em tempo real
The general purpose of this work is to present a methodology that defines daily behavior profiles of consumers unities of electric energy, fed through high voltage distribution lines, with the purpose of detecting frauds or measurement errors. This methodology allowed the development of a rule based system that uses consumer s static information, i.e., infor
Publicado em: 2005
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5. Implementação de uma metodologia para mineração de dados aplicada ao estudo de núcleos convectivos / Implementation of methodology for data mining applied to the study of convective nucleous
In this work, a methodology for data mining was implemented using the rough sets theory and applied to the study of convective nucleous. Data mining has been used to analyze large volumes of data trying to identify frequent correlations, patterns, and outliers, in the most varied domains of applications, including scientific research. In this study, data min
Publicado em: 2005
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6. DATA MINING WITH ROUGH SETS TECHNIQUES / MINERAÇÃO DE DADOS COM TÉCNICAS DE ROUGH SETS
This dissertation investigates the application of Rough Sets to the process of KDD - Knowledge Discovery in Databases. The main goal of the work was to evaluate the performance of Rough Sets techniques in solving the classification problem. Classification is a task of the Data Mining step in KDD Process that performs the discovery of decision rules that best
Publicado em: 2000