Data mining - Open Access .click

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 +3 more sources

microeco: An R package for data mining in microbial community ecology.

FEMS Microbiology Ecology, 2020
A large amount of sequencing data is produced in microbial community ecology studies using the high-throughput sequencing technique, especially amplicon-sequencing-based community data.
Chi Liu, Yaoming Cui, Xiangzhen Li, Minjie Yao +3 more
semanticscholar +1 more source

A survey on federated learning in data mining

WIREs Data Mining Knowl. Discov., 2021
Data mining is a process to extract unknown, hidden, and potentially useful information from data. But the problem of data island makes it arduous for people to collect and analyze scattered data, and there is also a privacy security issue when mining ...
Bin Yu +4 more
semanticscholar +1 more source

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