With the arrival of the era of big data,the audit thinking mode has been promoted to change.Under the influence of big data,audit will become an activity of continuous behavio Through cloud data,the staff can control ...With the arrival of the era of big data,the audit thinking mode has been promoted to change.Under the influence of big data,audit will become an activity of continuous behavio Through cloud data,the staff can control the operation status and risk assessment of the whole enterprise,timely analyze,control and respond to risks,and protect the enterprise to reduce risks.With the advent of the era of big data,audit data analysis is becoming more and more important.At the same time,a large amount of data analysis also brings challenges to auditors.Methods to deal and solve the challenges has become an urgent problem to be solved at present.This paper mainly studies the challenges and countermeasures brought by the changes of audit approaches and methods to audit data analysis under the background of big data,so as to continuously innovate and practice the improvement of audit technology and promote the healthy and rapid development of social economy.展开更多
To solve the problems in the quality control and improvement of coiled tubing steel strips production, such as scattered and inefficient production data, difficult performance fluctuation factor analysis, complex mult...To solve the problems in the quality control and improvement of coiled tubing steel strips production, such as scattered and inefficient production data, difficult performance fluctuation factor analysis, complex multivariate statistical analysis, and low accuracy and difficulty in mechanical property prediction, an industrial data analysis platform for coiled tubing steel strips production has been preliminarily developed.As the premise and foundation of analysis, industrial data collection, storage, and utilization are realized by using multiple big data technologies.With Django as the agile development framework, data visualization and comprehensive analyses are achieved.The platform has functions including overview survey, stability analysis, comprehensive analysis(such as exploratory data analysis, correlation analysis, and multivariate statistics),precise steel strength prediction, and skin-passing process recommendation.The platform is helpful for production overviewing and prompt responding, laying a foundation for an in-depth understanding of product characteristics and improving product performance stability.展开更多
This paper presents methodology and trends of linguistic research in the era of big data.We begin with a discussion of the role of linguists in the information society and illustrate the opportunities and challenges l...This paper presents methodology and trends of linguistic research in the era of big data.We begin with a discussion of the role of linguists in the information society and illustrate the opportunities and challenges linguists are currently facing.After highlighting the significance of authentic data on linguistic research,we argue that language is a complex adaptive system driven by humans.Then,from the perspective of philosophy of science,we introduce the research paradigm of quantitative linguistics through several cases.Finally,we discuss how China’s linguistic research will benefit from the data-intensive approach in terms of scientification and internationalization.展开更多
Desertification research plays a key role in the survival and development of all mankind.The Normalized Comprehensive Hotspots Index(NCH)is a comprehensive index that reveals the spatial distribution of research hotsp...Desertification research plays a key role in the survival and development of all mankind.The Normalized Comprehensive Hotspots Index(NCH)is a comprehensive index that reveals the spatial distribution of research hotspots in a given research field based on the number of relevant scientific papers.This study uses Web Crawler technology to retrieve the full text of all Chinese journal articles spanning the 1980s-2018 in the Chinese Academic Journal full-text database(CAJ)from CNKI.Based on the 253,055 articles on desertification that were retrieved,we have constructed a research hotspot extraction model for desertification in China by means of the NCH Index.This model can reveal the spatial distribution and dynamic changes of research hotspots for desertification in China.This analysis shows the following:1)The spatial distribution of research hotspots on desertification in China can be effectively described by the NCH Index,although its application in other fields still needs to be verified and optimized.2)According to the NCH Index,the research hotspots for desertification are mainly distributed in the Agro-Pastoral Ecotone and grassland in Inner Mongolia,the desertification areas of Qaidam Basin in the Western Alpine Zone and the Oasis-Desert Ecotone in Xinjiang(including the extension of the central Tarim Basin to the foothills of the Kunlun Mountains,the sporadic areas around the Tianshan Mountains and the former hilly belt of the southern foothills of the Altai Mountains).Among these three,the Agro-Pastoral Ecotone in the middle and eastern part of Inner Mongolia includes the most prominent hotspots in the study of desertification.3)Since the 1980s,the research hotspots for desertification in China have shown a general downward trend,with a significant decline in 219 counties(10.37%of the study area).This trend is dominated by the projects carried out since 2002.The governance of desertification in the eastern part of the Inner Mongolia-Greater Khingan Range still needs to be strengthened.The distribution of desertification climate types reflects the distribution of desertification in a given region to some extent.The Normalized Comprehensive Hotspots Index provides a new approach for researchers in different fields to analyze research progress.展开更多
[目的/意义]对大数据时代国内外个人信息保护的研究热点和演化趋势进行了总结和回顾,旨在为相关领域的研究提供参考和启示。[方法/过程]运用文献计量法和科学知识图谱法,基于CNKI和Web of Science数据库,以ITGInsight为主体工具,再辅之G...[目的/意义]对大数据时代国内外个人信息保护的研究热点和演化趋势进行了总结和回顾,旨在为相关领域的研究提供参考和启示。[方法/过程]运用文献计量法和科学知识图谱法,基于CNKI和Web of Science数据库,以ITGInsight为主体工具,再辅之Gephi、Excel、SATI等科学计量与知识网络分析软件,对大数据领域国内外个人信息保护研究领域的热点分布、主题演化以及研究内容进行分析。[结果/结论]大数据时代国内外个人信息保护相关研究主题分布广泛、演化规律较为复杂,呈现出显著的变化趋势,在未来的研究中,需要综合考虑技术、法律、政策等多个方面的因素,以构建更加全面、系统的个人信息保护体系。展开更多
基金Key Major of Audit Science in quality Engineering Project of Private Universities in 2020(Grant No.:HS2020ZLGC06)Supervisor System Research Project of Huashang College of Guangdong University of Finance and Economics in 2018(Grant No.:2018HSDS03)University Quality Engineering of Huashang College in 2021(Grant No.:HS2021ZLGC19)。
文摘With the arrival of the era of big data,the audit thinking mode has been promoted to change.Under the influence of big data,audit will become an activity of continuous behavio Through cloud data,the staff can control the operation status and risk assessment of the whole enterprise,timely analyze,control and respond to risks,and protect the enterprise to reduce risks.With the advent of the era of big data,audit data analysis is becoming more and more important.At the same time,a large amount of data analysis also brings challenges to auditors.Methods to deal and solve the challenges has become an urgent problem to be solved at present.This paper mainly studies the challenges and countermeasures brought by the changes of audit approaches and methods to audit data analysis under the background of big data,so as to continuously innovate and practice the improvement of audit technology and promote the healthy and rapid development of social economy.
文摘To solve the problems in the quality control and improvement of coiled tubing steel strips production, such as scattered and inefficient production data, difficult performance fluctuation factor analysis, complex multivariate statistical analysis, and low accuracy and difficulty in mechanical property prediction, an industrial data analysis platform for coiled tubing steel strips production has been preliminarily developed.As the premise and foundation of analysis, industrial data collection, storage, and utilization are realized by using multiple big data technologies.With Django as the agile development framework, data visualization and comprehensive analyses are achieved.The platform has functions including overview survey, stability analysis, comprehensive analysis(such as exploratory data analysis, correlation analysis, and multivariate statistics),precise steel strength prediction, and skin-passing process recommendation.The platform is helpful for production overviewing and prompt responding, laying a foundation for an in-depth understanding of product characteristics and improving product performance stability.
基金This paper is a phased achievement of“A Study on Quantitative Linguistics:Contemporary Chinese Language”(11&ZD188)a major project sponsored by the National Social Science Fund of China and implemented by Zhejiang University’s“Big Data+Language Laws and Cognition”innovation team under the auspices of the Fundamental Research Funds for the Central Universities。
文摘This paper presents methodology and trends of linguistic research in the era of big data.We begin with a discussion of the role of linguists in the information society and illustrate the opportunities and challenges linguists are currently facing.After highlighting the significance of authentic data on linguistic research,we argue that language is a complex adaptive system driven by humans.Then,from the perspective of philosophy of science,we introduce the research paradigm of quantitative linguistics through several cases.Finally,we discuss how China’s linguistic research will benefit from the data-intensive approach in terms of scientification and internationalization.
基金The National Key Research and Development Program of China(2016YFC0503701,2016YFB0501502)The Strategic Priority Research Program of Chinese Academy of Sciences(XDA19040301,XDA20010202,XDA23100201)The Key Project of the High Resolution Earth Observation System in China(00-Y30B14-9001-14/16)
文摘Desertification research plays a key role in the survival and development of all mankind.The Normalized Comprehensive Hotspots Index(NCH)is a comprehensive index that reveals the spatial distribution of research hotspots in a given research field based on the number of relevant scientific papers.This study uses Web Crawler technology to retrieve the full text of all Chinese journal articles spanning the 1980s-2018 in the Chinese Academic Journal full-text database(CAJ)from CNKI.Based on the 253,055 articles on desertification that were retrieved,we have constructed a research hotspot extraction model for desertification in China by means of the NCH Index.This model can reveal the spatial distribution and dynamic changes of research hotspots for desertification in China.This analysis shows the following:1)The spatial distribution of research hotspots on desertification in China can be effectively described by the NCH Index,although its application in other fields still needs to be verified and optimized.2)According to the NCH Index,the research hotspots for desertification are mainly distributed in the Agro-Pastoral Ecotone and grassland in Inner Mongolia,the desertification areas of Qaidam Basin in the Western Alpine Zone and the Oasis-Desert Ecotone in Xinjiang(including the extension of the central Tarim Basin to the foothills of the Kunlun Mountains,the sporadic areas around the Tianshan Mountains and the former hilly belt of the southern foothills of the Altai Mountains).Among these three,the Agro-Pastoral Ecotone in the middle and eastern part of Inner Mongolia includes the most prominent hotspots in the study of desertification.3)Since the 1980s,the research hotspots for desertification in China have shown a general downward trend,with a significant decline in 219 counties(10.37%of the study area).This trend is dominated by the projects carried out since 2002.The governance of desertification in the eastern part of the Inner Mongolia-Greater Khingan Range still needs to be strengthened.The distribution of desertification climate types reflects the distribution of desertification in a given region to some extent.The Normalized Comprehensive Hotspots Index provides a new approach for researchers in different fields to analyze research progress.
文摘[目的/意义]对大数据时代国内外个人信息保护的研究热点和演化趋势进行了总结和回顾,旨在为相关领域的研究提供参考和启示。[方法/过程]运用文献计量法和科学知识图谱法,基于CNKI和Web of Science数据库,以ITGInsight为主体工具,再辅之Gephi、Excel、SATI等科学计量与知识网络分析软件,对大数据领域国内外个人信息保护研究领域的热点分布、主题演化以及研究内容进行分析。[结果/结论]大数据时代国内外个人信息保护相关研究主题分布广泛、演化规律较为复杂,呈现出显著的变化趋势,在未来的研究中,需要综合考虑技术、法律、政策等多个方面的因素,以构建更加全面、系统的个人信息保护体系。
