检索结果-内蒙古大学图书馆

The integration of technological advancements in fossil fuels towards environmental sustainability: Insights from big data analytics

引用

RESOURCES POLICY 2023年第PartA期86卷

作者： Lu, Tan Xiao, Xiaolan Yu, Huaying Ren, Daowen Guangzhou Coll Technol & Business Sch Accounting Guangzhou Peoples R China

The purpose of this paper is to examine the impact of fossil fuel energy consumption and the utilization of big data technology on the green growth index of 672 companies listed on the Nasdaq in the United States. The study analyzes annual data from 2010 to 2019 using the CUP-FM (continuously updated fully modified) estimator. The findings indicate that a 1% increase in the use of big data technology results in a 1.61% improvement in the sustainable growth of these companies. Furthermore, the cost of information and communication technology is identified as the main driver of green growth. Specifically, a 1% increase in the stock price of listed companies leads to a 0.06% decrease in the sustainable growth index. Additionally, a 1% increase in the cost of fossil fuel consumption leads to a 0.034% decrease in the sustainable growth index of American listed companies. The recommended policy measures include the integration of big data technology, fintech, and cryptocurrencies, the expansion of green research and development, and the enhancement of the resilience index of companies.

关键词： Fossil fuels utilization big data technology Renewable growth Energy expenditure

来源：评论

学校读者我要写书评

暂无评论

The Construction of Decision Model of Multi-channel Closed-loop Supply Chain Based on big data

引用

Procedia Computer Science 2023年 228卷 1287-1293页

作者： Ying Xu Lin Zhu Hua Wu Ningbo University of Finance & Economics Ningbo 315175ZhejiangChina Sias International University Zhengzhou451150Henan China

In today's era, science and technology have undergone tremendous development, and the research on big data technology has become more and more mature. Many areas of human life have begun to apply big data technology, and big data technology has indeed brought more convenience to human life. With innovation, human life has also become better because of the development of big data. With the increase of people's awareness of environmental protection and sustainable development, more and more scholars have begun to pay attention to the research of multi-channel closed-loop supply chain. The return products caused by reverse logistics greatly affect the supply chain inventory system and the butterfly effect of the supply chain. This paper uses the Agent technology in big data to construct a multi-channel closed-loop supply chain decision model, and applies the Agent technology to the research of multi-channel closed-loop supply chain inventory and butterfly effect. This paper analyzes the functional agents included in each structural agent in the closed-loop supply chain, designs the simulation process, and designs the final data collection and analysis. Through the analysis of the simulation results, find out the influence of the reverse logistics recycling and return links and the changes in inventory control parameters on the butterfly effect of the members of the closed-loop supply chain at all levels, and provide guidance for the members of the closed-loop supply chain to formulate reasonable and effective inventory control strategies Sexual opinions.

关键词： big data technology Multi-channel Closed-loop Supply Chain Agent technology The Butterfly Effect

来源：评论

学校读者我要写书评

暂无评论

The Construction of Parenting Model of College Academic Style Construction Based on big data Analysis

The Construction of Parenting Model of College Academic Styl...

引用

作者： Hongxiao Zhao Heng Xu Haidu College Qingdao Agricultural University Department of Mechanical Engineering Hoseo University

The construction of academic style in colleges and universities has extremely profound significance for building the lifeline of school development and improving core competitiveness. The wide application of big data technology in student management in colleges and universities has brought new opportunities for the development of education scientifically, and the use of data collection, analysis, computation and mining to support the development of information technology in colleges and universities has become an inevitable trend of future strategy. The article combines the current situation of poor academic style in the field of student management in colleges and universities, explores the application of big data technology in the comprehensive portrait of the individual, group portrait, behavioral trajectory analysis, comprehensive early warning, and academic difficulties and other aspects, and at the same time puts forward the optimization path of the academic style construction, builds the model of parenting, and assists in the enhancement of the quality of talent cultivation in colleges and universities.

关键词： big data technology Study style construction Personnel training sextet

来源：评论

学校读者我要写书评

暂无评论

Analysis of the innovation path of university education management informatization in the era of big data

引用

APPLIED MATHEMATICS AND NONLINEAR SCIENCES 2023年第1期9卷

作者： Zhu, Zefeng Zhejiang Normal Univ Acad Affair Off Jinhua Zheiang Peoples R China

In order to have a qualitative improvement in the education management of universities in the background of the era of big data technology, it is necessary to integrate information technology and technological means in the process of education management. Based on this background, this paper constructs an informatization education management platform. In the process of platform architecture, the cloud storage module obtains the exact nearest neighbors by the time factor, optimizes the construction process by using the weighting function and hybrid coordination filtering algorithm, and simplifies the teaching management process. In the teaching management system, the fixed rules of the feature selection algorithm are used to achieve teaching resource selection prediction in the optimal feature subset and establish the best classification surface. Finally, the performance of the platform proposed in this paper is verified from two levels: resource recommendation and education management. The experimental results show that the MAE (Mean Absolute Error) value of this platform is always under 0.7, with a mean value of 0.523, and the experimental teaching resource recommendation effect is better than that of the IE virtual experiment teaching platform and data platform. And the maximum number of visits that the platform can bear is 884, and the maximum amount of government processing can reach 839, which is much larger than the number of 800 users of experimental teaching in the university and fully meets the needs of university education management.

关键词： big data technology Education management platform Time factor MAE value Feature selection algorithm

来源：评论

学校读者我要写书评

暂无评论

Research and Design of Credit Risk Assessment System Based on big data and Machine Learning 6

Research and Design of Credit Risk Assessment System Based o...

引用

IEEE 6th International Conference on big data Analytics (ICBDA)

作者： Wen, Song Zeng, Bi Liao, Wenxiong Wei, Pengfei Pan, Zhihao Guangdong Univ Technol Sch Comp Guangzhou Peoples R China

ISBN: (纸本)9781665415132

Since the outbreak of the COVID-19, small and medium-sized enterprises have been greatly affected. In order to cope with the difficulty of capital turnover for small and medium-sized enterprises, the government has successively introduced a series of financial policies to increase credit support and reduce financing costs. The rapid development of technology has also prompted further innovations in the operating models of banks and other credit platforms. However, banks and credit platforms must consider practical issues such as their own capital costs and risk assessment while they help small and medium-sized enterprises reduce financing costs. This paper aims to study and design a credit risk assessment system based on big data technology and machine learning algorithms. It is hoped that the system will enhance the bank's ability to identify the credit risks of small and medium-sized enterprises, so as to solve the problem of difficult and expensive financing for small and medium-sized enterprises. At the same time, it will reduce the bank's own bad loan ratio and increase profit margins. Achieving a win-win situation for small and medium-sized enterprises and banks, it's crucial to promote jointly the development of economy.

关键词： credit risk assessment big data technology machine learning algorithm

来源：评论

学校读者我要写书评

暂无评论

Financial Fund Investment System Based on Hadoop and data Mining technology 6

Financial Fund Investment System Based on Hadoop and Data Mi...

引用

6th International Conference on Smart Grid and Electrical Automation (ICSGEA)

作者： Wang, Xixuan Zhang, Yaohua Meng, Ziru Liu, Hailong Zhengzhou Univ Int Coll Zhengzhou 450000 Peoples R China Zhengzhou Univ Sch Informat Engn Zhengzhou 450001 Peoples R China

ISBN: (纸本)9781665432634

In order to overcome the limitation of high threshold of financial investment and the difficulty of massive financial data processing, this paper proposes a novel financial fund investment system based on Hadoop and data mining technology. The system fully combines the advantages of data mining technology, can quickly process all kinds of financial data, and present the data to users. In addition, the system can provide users with various financial data and investment information according to their individual needs, so as to help users make scientific and reasonable investment decisions. The results show that the system can indeed reduce the threshold of financial investment, process massive financial data, and mine valuable information in financial data, so as to increase the economic returns of investors.

关键词： Hadoop big data technology data mining Financial field

来源：评论

学校读者我要写书评

暂无评论

Smart city community governance system based on online and offline aggregation services

引用

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING 2021年第4期14卷 3187-3197页

作者： Zhu, Xin Chen, Chunchun Hu, Yunyao Beijing Union Univ Sch Management Beijing 100101 Peoples R China Southwest Forestry Univ Coll Econ & Management Kunming 650224 Yunnan Peoples R China

This paper takes smart city as an example, combining with online and offline aggregation services to explore the possible way out of county community governance innovation. In this white paper, community governance of online and offline aggregate services depends on the various assets and functions of the community, acts in collaboration with community stakeholders, and prevents and resists contingencies. Defined as a community with the ability to self-organize, self-adapt, and self-heal Interference or disaster to achieve sustainable development. This paper puts forward the benefit evaluation method of community governance, which is used to evaluate the implementation effect of online and offline community governance system. Taking a county as an example, this paper analyzes the impact of the challenge and novelty of this model on urban construction. Research shows that in the previous community governance model, about 50% of the people think that the managers of all institutions related to public welfare should not take management as the purpose, and even nearly 70% of the respondents also stressed that these institutions should not be allowed to collect legal management fees or commission fees. At the same time, 40% of respondents admitted that they did not trust the quality of free services provided by public welfare agencies. The online and offline aggregate service modes adopted by the city not only work well in the city's economy, but also increase the city's GDP by 12%. This is 3.6% higher than in the previous mode. In addition, this model will accelerate the process of democratic construction and improve people's happiness index.

关键词： Online and offline aggregation services Smart city Community governance system big data technology

来源：评论

学校读者我要写书评

暂无评论

Enhancing tourism management through big data: Design and implementation of an integrated information system

引用

Heliyon 2024年第20期10卷 e38256页

作者： Wang, Lulu Zhejiang Technical Institute of Economics Hangzhou 310018 China

Many sectors, particularly traveling, have been profoundly affected by the fast development of big data technologies. This article provides a detailed examination of the development and execution of a Tourism Management Information System (TMIS) that utilizes big data analytics to improve operational effectiveness, gain insights into tourist behavior, and encourage sustainable tourism practices. The system combines data from several sources, including booking systems, social media platforms, and tracking devices, and addresses issues related to data privacy, quality, and integration. The TMIS utilizes statistical information to provide tailored tourist experiences, enhance resource allocation, and aid in long-term planning. The study emphasizes the significance of strong data management, which involves assuring the precision of data and its immediate significance. Additionally, this article examines the potential of big data in promoting a strong and creative tourism industry. It highlights the importance of future studies in exploring sustainable uses of big data and the incorporation of novel technologies, such as artificial intelligence, to improve personalized experiences. The present research highlights the significant and positive influence of big data on the management of tourism. It offers a structured approach for implementing big data in practice and sets the stage for long-term and sustainable growth in the tourism sector. © 2024

关键词： big data technology Decision making Tourism industry Tourism management information system

来源：评论

学校读者我要写书评

暂无评论

Problems and Path Options in the Construction of Intelligent Universities in the Context of big data 22

Problems and Path Options in the Construction of Intelligent...

引用

Proceedings of the 2022 10th International Conference on Information technology: IoT and Smart City

作者： yanan Qu Bing Bai School of Marine Law and Humanities Dalian Ocean University China

ISBN: (纸本)9781450397438

Education is the first priority in a hundred-year plan. In the background of big data, how to introduce the information technology into our education construction successfully, timely and efficiently has become a difficult problem in modern education, so the construction of intelligent colleges and universities in the background of big data has also become the key content of our education construction. However, in the background of big data development, based on the complexity of data collection and processing, the construction of intelligent colleges and universities is not straightforward, but also faces many risks and challenges, such as the lack of overall unified planning, intelligent teaching tends to be superficial, humanistic care is difficult to take into account, and information network security needs to be paid attention to. Therefore, this paper summarizes and analyzes the current situation and problems of intelligent college construction, and proposes countermeasures to solve these problems, such as formulating overall unified planning and design, applying PDCA cycle theory to improve intelligent teaching and learning, embedding humanistic care to improve intelligent college construction, and building information network security system. In the new era of rapid development of network information technology, we hope to provide assistance to the cultivation of intelligent technological talents, so as to better promote the construction and development of intelligent colleges and universities.

关键词： big data technology intelligent universities talent training

来源：评论

学校读者我要写书评

暂无评论

Regional metal pollution risk assessment based on a big data framework: A case study of the eastern Tianshan mining area, China

引用

ECOLOGICAL INDICATORS 2022年 145卷

作者： Cheng, Yinyi Zhou, Kefa Wang, Jinlin Cui, Shichao Yan, Jining De Maeyer, Philippe Van de Voorde, Tim Chinese Acad Sci Xinjiang Inst Ecol & Geog State Key Lab Desert & Oasis Ecol Urumqi 830011 Peoples R China Xinjiang Key Lab Mineral Resources & Digital Geol Urumqi 830011 Peoples R China Chinese Acad Sci Xinjiang Res Ctr Mineral Resources Urumqi 830011 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China Univ Ghent Dept Geog B-9000 Ghent Belgium Sinobelgian Joint Lab Geoinformat Urumqi 830011 Peoples R China Sinobelgian Joint Lab Geoinformat B-9000 Ghent Belgium China Univ Geosci Sch Comp Sci Wuhan 430074 Peoples R China

With the increasing maturity of big data technology, its application in the field of environmental assessment has become an important issue. The mining of mineral resource can affect the balance in the ecological environment surrounding mining areas and the normal life activities of humans through groundwater. To solve this problem, big data-based methods were used to evaluate the pollution risk in mining areas in this article. Based on a spatial big data management framework, in this paper, high-risk areas in eastern Tianshan were quantitatively analyzed and delineated via a new comprehensive heavy metal pollution assessment system. A distributed storage envi-ronment, unstructured management method and spatial index coding were used to uniformly manage spatial data in vector and raster formats retrieved from different sources. A system involving 18 geological environment indicators was used to evaluate the risk level in the study area and in delineated areas with a high risk of heavy metal pollution. The results indicated that the proposed framework could efficiently store and process spatial data and realize environmental pollution risk assessment in a big data environment. In addition, some of the high-pollution risk areas identified based on the assessment results were consistent with actual mine locations. Overall, the results show that integrating multi-source geological characteristics through a comprehensive evaluation system based on big data can have a positive effect on improving the accuracy of heavy metal pollution risk assessment. Heavy metal pollution assessment can provide a reference for environmental moni-toring and governance of the eastern Tianshan region and offer new solutions to large-scale heavy metal pollution assessment.

关键词： big data technology Heavy metal pollution Risk assessment Index evaluation system Eastern Tianshan

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：