Results 281 to 290 of about 1,156,762 (339)
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Mining the knowledge mine

1997
As databases grow in size and complexity the task of adding value to the wealth of data becomes difficult. Data mining has emerged as the technology to add value to enormous databases by finding new and important snippets (or nuggets) of knowledge. With large training sets, however, extremely large collections of nuggets are being extracted, leading to
Graham J. Williams, Zhexue Huang
openaire   +1 more source

Mine Rule

2005
Mining of association rules is one of the most adopted techniques for data mining in the most widespread application domains. A great deal of work has been carried out in the last years on the development of efficient algorithms for association rules extraction. Indeed, this problem is a computationally difficult task, known as NP-hard (Calders, 2004),
PSAILA, Giuseppe, MEO, ROSA
openaire   +2 more sources

Text Mining

2008
One of the fastest-growing fields in bioinformatics is text mining: the application of natural language processing techniques to problems of knowledge management and discovery, using large collections of biological or biomedical text such as MEDLINE.
Andrew B, Clegg, Adrian J, Shepherd
openaire   +2 more sources

Identification of potent antimicrobial peptides via a machine-learning pipeline that mines the entire space of peptide sequences

Nature Biomedical Engineering, 2023
Jun-jie Huang   +10 more
semanticscholar   +1 more source

Rheological behavior of paste in metal mines

International Journal of Minerals, Metallurgy, and Materials, 2022
Aixiang Wu, Z. Ruan, Jiandong Wang
semanticscholar   +1 more source

A general channel model for visible light communications in underground mines

China Communications, 2018
In underground mines, visible light communication (VLC) system is a promising method to realize effective communication, which supports communication and illumination at the same time.
Jia Wang   +4 more
semanticscholar   +1 more source

Data mining

Genetic Epidemiology, 2005
Group 14 used data-mining strategies to evaluate a number of issues, including appropriate diagnosis, haplotype estimation, genetic linkage and association studies, and type I error. Methods ranged from exploratory analyses, to machine learning strategies (neural networks, supervised learning, and tree-based methods), to false discovery rate control of
L Adrienne, Cupples   +8 more
openaire   +2 more sources

Technology strategies to achieve carbon peak and carbon neutrality for China’s metal mines

International Journal of Minerals, Metallurgy, and Materials, 2022
Q. Guo, Xun Xi, Shangtong Yang, M. Cai
semanticscholar   +1 more source

Plantations and mines: resource frontiers and the politics of the smallholder slot

De-centring Land Grabbing, 2017
Smallholders are key political figures produced or reproduced in resource frontiers where new forms of property or land use emerge. In this paper, I present what I call the ‘smallholder slot’, as read off state practices and small-scale miners’ and ...
N. Peluso
semanticscholar   +1 more source

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