Results 71 to 80 of about 32,016 (206)
Chinese classical literature in Internet era from the perspective of data [PDF]
本文是将大数据方法应用于古典小说研究的尝试,在读者亦是用户的互联网时代,文学传播的媒介、方式、内容都发生了巨大的变化。随着电子阅读与网络浏览成为重要的文学接受方式,传统读者的评论过渡到网络用户的浏览、留言等,接受行为更加多元,这一系列的行为都在网络上留下痕迹,大数据技术对这些痕迹进行记录、存储、挖掘、分析,形成庞大的网络数据群。对这些数据进行分析,将成为文学研究的重要方法之一。另一方面,衍生品成为古典文学的重要传播方式。 本文分为四个部分,第一部分为研究综述,梳理国内外使用数据方法进行文学研究的状况 ...
李天
core
Effects of parachute science on local research capacity 降落伞科学对当地研究能力的影响
Abstract Strengthening research capacity is essential to address the global biodiversity crisis. Yet, parachute science often undermines this goal, and its prevalence, costs, and benefits are unclear. We analyzed 13,502 publications on primate research that we extracted from Scopus (1960–2022) to evaluate the effects of parachute science on local ...
Li Yang +11 more
wiley +1 more source
Research on the Government Decision Support System Based on Modeling and Simulation [PDF]
随着网络信息技术的发展,随着大数据时代的到来,政府在做公共决策时将面对海量数据和复杂系统,决策难度将直线上升。为了提高政府的行政能力、管理水平和决策准确性,将决策支持系统及建模仿真等新技术引入政府成为必然趋势。基于建模仿真的政府决策支持系统,可以利用电子政务综合数据仓库中存储的大量数据,考虑决策者的偏好需要,并且充分把握决策问题的特点性质,从而使仿真模型更加真实、仿真结果更符合实际情况,通过模拟预演和不断优化来提高政策制定的科学性和可行性。 本文分为五大部分:第一是绪论部分 ...
李海飞
core
Strengthening community‐based fisheries monitoring programs with Indigenous perspectives
Abstract Community‐based monitoring (CBM) programs are increasingly recognized as essential for adaptive environmental stewardship. Yet, the CBM literature often highlights successful cases and privileges evaluations by external experts over those of community members themselves.
Kanwaljeet Dewan +2 more
wiley +1 more source
[Prospects for the Application of Healthcare Big Data Combined With Large Language Models]. [PDF]
Chen R.
europepmc +1 more source
Abstract Prioritization in conservation is crucial for the development of efficient and effective decision‐making policies. For many decades, the importance of some species and their habitats has been assessed and applied in conservation legislation, but bats and their diurnal roosts have ofbeen overlooked.
David López‐Bosch +6 more
wiley +1 more source
Study on Parallel Learning Algorithm of Gradient Boosting Decision Tree [PDF]
GBDT(GradientBoostingDecisionTree)是一个应用广泛、效果好的监督式机器学习模型。它于2001年由Friedman提出,由决策树(DecisionTree)和梯度提升(GradientBoosting)组合而成。它在实践中被证明是一个很高效的模型,被广泛应用于搜索排序,广告点击率预测等,给工业界带来了巨大的效果提升和收益。随着互联网时代的到来,更多的数据可以被获取到。在机器学习中,更多的数据也意味着更好的效果,所以,用大数据来训练机器学习模型是很有必要的 ...
柯国霖
core
Bibliometric analyses are capable of demonstrating the history and the tendency of scientific and technological development. This article aims to use big scientific data to explore the present status of plant phenomics, based on which sound ...
Chen, Rongrong +7 more
core +1 more source
A link between increased temperature and avian body condition in a logged tropical forest
Abstract The combined effects of anthropogenic disturbances, such as logging and climate change, remain poorly understood; yet, they are the main threats to tropical biodiversity. Most tropical African countries lack long‐term climate data, so climate impacts on biodiversity cannot be assessed.
Moreen Uwimbabazi +7 more
wiley +1 more source
《纽约时报》2012年的一篇闻名世界专栏"伟大数据时代"宣告了大数据为代表的时代特征。2016年10月,中国共产党中央委员会、国务院发布《"健康中国2030"规划纲要》,明确要求健康医疗大数据广泛应用、深度挖掘并开放共享,促进大数据技术在健康医疗快速发展,将给医疗领域带来前所未有的发展和突破。因此本文分析大数据对医学的影响,并对大数据时代医学生培养策略提出思考和对策建议。
梁美英, 梁贤明
doaj

