Results 281 to 290 of about 1,156,762 (339)
Some of the next articles are maybe not open access.
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
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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
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
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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
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
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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
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Ecological evaluation of heavy metal pollution in the soil of Pb-Zn mines
Ecotoxicology, 2022Jie Cao, Chengyu Xie, Zhiru Hou
semanticscholar +1 more source
Rheological behavior of paste in metal mines
International Journal of Minerals, Metallurgy, and Materials, 2022Aixiang Wu, Z. Ruan, Jiandong Wang
semanticscholar +1 more source
A general channel model for visible light communications in underground mines
China Communications, 2018In 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
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
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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, 2022Q. 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, 2017Smallholders 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
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