Graph Mining
Mostrando 1-11 de 11 artigos, teses e dissertações.
-
1. Open stope stability assessment through artificial intelligence
Abstract Underground mining is a set of methods that allows the extraction of ore in depth, ensuring sustainability and economic viability. One of the problems that arise in underground mine operations is open stope stability. The method for assessing stabil ity of open stopes is the stability graph proposed by Mathews et al. (1981). It is possible to estima
REM, Int. Eng. J.. Publicado em: 2020-09
-
2. Direct sequencing of blocks in stochastic models with multi-mines and multi-destinations
Abstract Mining Scheduling is the one that maximizes profit from mining over time. By means of computational methods, the deposit is discretized in blocks and algorithms are used to consummate this objective. The methods that are widely known nowadays for mining scheduling optimization of a discrete block model were based on graph theory, and among those mos
REM, Int. Eng. J.. Publicado em: 16/09/2019
-
3. Mine fleet cost evaluation - Dijkstra's optimized path
Abstract The transport distance in a mining operation strongly influences a mine operation revenue and its operational cycle because it is a fundamental part of the total mining costs. Generally, the transport route is determined based on an engineer's practical knowledge, which does not consider any mechanism to optimize the possible routes to be taken. In
REM, Int. Eng. J.. Publicado em: 2019-06
-
4. 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
-
5. A GRAPH-MINING BASED METHOD FOR SEGMENTATION AND COUNTING OF LOCAL MAXIMUM CLUSTERS IN DIGITAL IMAGES / UM MÉTODO BASEADO EM MINERAÇÃO DE GRAFOS PARA SEGMENTAÇÃO E CONTAGEM DE CLUSTERS DE MÁXIMOS LOCAIS EM IMAGENS DIGITAIS
Uma imagem monocromática pode ser interpretada como uma superfície topológica e desta forma objetos de interesse podem aparecer como picos (sharp mountains), domos (smooth hills) ou vales (V- or U-shaped). Um domo geralmente contém vários pontos de máximo locais em seu topo. Logo, fica bem caracterizado por um cluster de máximos locais. Segmentar indi
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 08/04/2011
-
6. Métodos para o pré-processamento e mineração de grandes volumes de dados multidimensionais e redes complexas / Methods to pre-processing and mining large volumes of multidimensional data and complex networks
A mineração de dados é um processo computacionalmente caro, que se apoia no pré-processamento dos dados para aumentar a sua eficiência. As técnicas de redução de elementos do conjunto de dados, principalmente a amostragem de dados se destacam no pré-processamento. Os dados reais são caracterizados pela não uniformidade da distribuição, grande qu
Publicado em: 2010
-
7. Analysis of the Clustering Algorithms for the Databases / Análise de Algoritmos de Agrupamento para Base de Dados Textuais
The increasing amount of digitally stored texts makes necessary the development of computational tools to allow the access of information and knowledge in an efficient and efficacious manner. This problem is extremely relevant in biomedicine research, since most of the generated knowledge is translated into scientific articles and it is necessary to have the
Publicado em: 2008
-
8. VISTREE: uma linguagem visual para análise de padrões arborescentes e para especificação de restrições em um ambiente de mineração de árvores
The frequent pattern mining in data represented by more complex structures like trees and graphs are growing lately. Among the reasons for this improvement is the fact that the tree and graph patterns has more information than sequential patterns, besides there is the possibility of usage of this type of mining in several areas like XML Mining,Web Mining and
Publicado em: 2008
-
9. Metodologia de planejamento estratégico de lavra incorporando riscos e incertezas para a obtenção de resultados operacionais. / Strategical minnig planning methodology incorporating risks and uncertanties to obtain operational results.
Strategic mine planning corresponds to the process to determine the best mine design and scheduling according to a previously stablished strategy. It is considered as a key element for the success of a mining venture, once supports the decision process related to it conduct and development. Conventional strategic mine planning methods are based on determinis
Publicado em: 2008
-
10. Global protein function annotation through mining genome-scale data in yeast Saccharomyces cerevisiae
As we are moving into the post genome-sequencing era, various high-throughput experimental techniques have been developed to characterize biological systems on the genomic scale. Discovering new biological knowledge from the high-throughput biological data is a major challenge to bioinformatics today. To address this challenge, we developed a Bayesian statis
Oxford University Press.
-
11. BIND—The Biomolecular Interaction Network Database
The Biomolecular Interaction Network Database (BIND; http://binddb.org) is a database designed to store full descriptions of interactions, molecular complexes and pathways. Development of the BIND 2.0 data model has led to the incorporation of virtually all components of molecular mechanisms including interactions between any two molecules composed of p
Oxford University Press.