期刊论文详细信息
Data Science Journal | |
A tool for public analysis of scientific data | |
D Haglin2  R Roiger2  J Hakkila1  T Giblin1  | |
[1] Department of Physics and Astronomy, The College of Charleston;Computer and Information Sciences Dept., Minnesota State University | |
关键词: Scientific Data; Data Mining; Machine Learning; KDD; Gamma Ray Burst; | |
DOI : 10.2481/dsj.4.39 | |
学科分类:计算机科学(综合) | |
来源: Ubiquity Press Ltd. | |
【 摘 要 】
References(22)The scientific method encourages sharing data with other researchers to independently verify conclusions. Currently, technical barriers impede such public scrutiny. A strategy for offering scientific data for public analysis is described. With this strategy, effectively no requirements of software installation (other than a web browser) or data manipulation are imposed on other researchers to prepare for perusing the scientific data. A prototype showcasing this strategy is described.
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
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RO201911300167875ZK.pdf | 1744KB | download |