Knowledge Discovery From Databases
Mostrando 1-12 de 20 artigos, teses e dissertações.
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1. Corticotropin-releasing factor receptor signaling and modulation: implications for stress response and resilience
Abstract Introduction In addition to their role in regulation of the hypothalamic-pituitary-adrenal-axis, corticotropin-releasing factor (CRF) and its related peptides, the urocortins, are important mediators of physiological and pathophysiological processes of the central nervous, cardiovascular, gastrointestinal, immune, endocrine, reproductive, and skin
Trends Psychiatry Psychother.. Publicado em: 2020-06
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2. Soluções aproximadas para algoritmos escaláveis de mineração de dados em domínios de dados complexos usando GPGPU / On approximate solutions to scalable data mining algorithms for complex data problems using GPGPU
The increasing availability of data in diverse domains has created a necessity to develop techniques and methods to discover knowledge from huge volumes of complex data, motivating many research works in databases, data mining and information retrieval communities. Recent studies have suggested that searching in complex data is an interesting research field
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 22/09/2011
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3. Data mining in large sets of complex data / Mineração de dados em grande conjuntos de dados complexos
Due to the increasing amount and complexity of the data stored in the enterprises\ databases, the task of knowledge discovery is nowadays vital to support strategic decisions. However, the mining techniques used in the process usually have high computational costs that come from the need to explore several alternative solutions, in different combinations, to
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 29/08/2011
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4. Perfis de alto desempenho : uma proposta de avaliação
In the modern companies, the search for employees more aligned with their needs and that have a high performance profile take the companies to develop and in-crease several tools for recruit, select and follow-up that allows identifying the candi-dates that are more aligned in the profile of some positions. The common practice of classifying the candidates b
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 27/08/2009
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5. Aplicação de técnicas de mineração de dados em problemas de classificação de padrões
The Knowledge Discovery in Databases (KDD) process, which includes the data mining phase, has been widely used as a tool to assist decision-making in areas such as banking credit and medical predictions. In this work this process is studied with the objective of evaluating the use of data mining methods in areas of electrical engineering, considering data ob
Publicado em: 2008
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6. Descoberta de equivalência semântica entre atributos em bancos de dados utilizando redes neurais / Discovering semantic equivalences on attributes in databases using neural networks
Com o crescimento das empresas que fazem uso das tecnologias de bancos de dados, os administradores destes bancos de dados criam novos esquemas a cada instante, e na maioria dos casos não existe uma normalização ou procedimentos formais para que tal tarefa seja desempenhada de forma homogênea, resultando assim em bases de dados incompatíveis, o que difi
Publicado em: 2008
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7. 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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8. Metodologia para desenvolvimento de soluÃÃes em mineraÃÃo de dados: Um estudo prÃtico em diagnÃstico de falhas
Data mining appeared of the extraction necessity of the knowledge from voluminous masses of data. In the truth, data mining is part of an ampler and complex process called KDD (Knowledge Discovery in Databases). The problem is that it does not have in practical a complete methodology to support the user in the development of the process of KDD. In this conte
Publicado em: 2005
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9. GestÃo do conhecimento usando Data Mining: estudo de caso na UFLA / Knowledge Management using Data Mining: a case study in UFLA.
Knowledge is one of the most important resources of an organization, making possible intelligent actions. The process of administration of knowledge embraces every form of generation, storage, distribution and use of the knowledge, making necessary the use of information technologies to facilitate that process, due to the great increase in the volume of data
Publicado em: 2005
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10. Um método baseado em hipóteses estatísticas para a descoberta de itemsets com distribuição assimétrica em processos de mineração de dados.
Nowadays, the ability to make good decisions at the right moment is a very desirable characteristic. To assist in the process of decision making, various techniques have been created. These techniques, however, need useful and reliable information to be eective. Data mining is an essential step in knowledge discovery in databases, being thus very important t
Publicado em: 2005
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11. Classificador simbÃlico baseado em regiÃes de tipo casca convexa
On the recent advancement from the information sciences technologies, deferent techniques are introduced to synthesize, analyze and extract information knowledge stored in huge databases. The symbolic data analysis (SDA) is a domain in the area of automatic knowledge discovery (KDD), related with multivariate data analysis, pattern recognition, artificial in
Publicado em: 2005
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12. HIBRID NEURO-FUZZY-GENETIC SYSTEM FOR AUTOMATIC DATA MINING / SISTEMA HÍBRIDO NEURO-FUZZY-GENÉTICO PARA MINERAÇÃO AUTOMÁTICA DE DADOS
This dissertation presents the proposal and the development of a totally automatic data mining system. The main objective is to create a system that is capable of extracting obscure information from complex databases, without demanding the presence of a technical specialist to configure it. The Hierarchical Neuro-Fuzzy Binary Space Partitioning model (NFHB)
Publicado em: 2004