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检索条件"任意字段=8th International Conference on Cloud Computing and Big Data Analytics, ICCCBDA 2023"

共 229 条记录，以下是1-10 订阅

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2023 8th international conference on cloud computing and big data analytics, icccbda 2023

2023 8th International Conference on Cloud Computing and Big...

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8th international conference on cloud computing and big data analytics, icccbda 2023

ISBN: (纸本)9781665455336

the proceedings contain 108 papers. the topics discussed include: knowledge map analysis of digital empowerment theme under the background of big data;evaluation of ecological protection importance in Yangtze River delta based on geospatial big data;the influence of family involvement on enterprise innovation based on big data analysis;housing profile and recommendation for housing provident fund using two-tower neural collaborative filtering;an approximation computation approach to big data analysis with a case analysis of PV system;research on intelligent perception and supervision for data circulation security based on block-chain;intra-company pay gap and enterprise performance: an empirical analysis based on panel data of listed Chinese manufacturing companies;evaluating off-chain transaction queueing delay to ensure data integrity by blockchain;and a data augmentation method for wound infection prediction.

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2023 IEEE/ACIS 8th international conference on big data, cloud computing, and data Science, BCD 2023

2023 IEEE/ACIS 8th International Conference on Big Data, Clo...

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8th IEEE/ACIS international conference on big data, cloud computing, and data Science, BCD 2023

ISBN: (纸本)9798350373615

the proceedings contain 77 papers. the topics discussed include: CNN-BiLSTM based federated learning for field worker safety;personalized recommendation: a novel approach based on hybrid methods and fog computing architecture;a study on the progress and future directions for Mydata in South Korea;digital electronic electricity meter reading using AlexNet;a comparative study of transformers embeddings for question answering in Arabic private documents;real-time measurement of elevator rope slippage using streaming images tracking model;tourist route recommendation framework with potential travel purposes;a consideration on countermeasure for avoiding congestion at tourist sites;simulation of the health monitoring and disease warning system on the pig herd with a cloud-based GAMA platform;and analysis of data from UAVs for surveillance and threat identification in maritime areas.

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Knowledge Map Analysis of Digital Empowerment theme under the Background of big data 8

Knowledge Map Analysis of Digital Empowerment Theme under th...

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8th international conference on cloud computing and big data analytics (icccbda)

作者： Bao, Xiaona Li, Yanran Zhang, Shuchang Dalian Polytech Univ Business Adm Dalian Peoples R China

ISBN: (纸本)9781665455336

With the advent of the era of big data, digital technology and digital technology are becoming more and more important. Both enterprises and individuals should keep up with the trend of the digital age. In this study, Citespace software is used to analyze the literatures on the theme of digital empowerment from 2014 to 2023, and the authors, institutions and keywords are visually analyzed to draw a scientific knowledge map. After analysis, it is found that the digital economy has been widely integrated into human life, and digital empowerment is more inclined to combine with health, followed by enterprise management and digital technology. Based on the above analysis and conclusions, the research situation and development trend of digital empowerment theme are analyzed and prospected to help scholars conduct a more comprehensive study on digital empowerment.

关键词： big data digital empowerment knowledge map visual analysis

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Application and Enlightenment of big data Technology in US Military Logistics Support 8

Application and Enlightenment of Big Data Technology in US M...

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8th international conference on cloud computing and big data analytics (icccbda)

作者： Zhai, Chenggong Luo, Min Xu, Hongsi Yuan, Xingguang Zhou, Liyong Peng, Xuejiao PLA Dept Quartermaster Procurement Army Logist Acad Chongqing Peoples R China

ISBN: (纸本)9781665455336

With the rapid development of information technology, big data technology is widely used in various fields, and its application in the field of military logistics support is increasingly important. this paper analyzes the important role of big data technology in the optimization and improvement of modern war logistics support system, takes the application of big data technology in US military logistics support as the inspiration, and discusses the current situation and existing problems in Chinese military logistics support, and puts forward the idea of building our military logistics support system based on big data technology.

关键词： big data technology US military logistics support logistics support system enlightenment

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data Factors as a Source of Innovation: Evidence from Chinese cloud computing Listed Firms 8

Data Factors as a Source of Innovation: Evidence from Chines...

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8th international conference on cloud computing and big data analytics (icccbda)

作者： Wang, Jun Li, Jiabei Sichuan Univ Chengdu Peoples R China

ISBN: (纸本)9781665455336

With the rise of digital economy, data has become a new factor of production. Based on data from A-share Chinese cloud computing listed firms, this study examined the nexus between using data factors and corporate innovation. Empirical evidence indicates that cloud computing listed firms have significantly increased their innovation performance in the process of using data factors, and this conclusion is still valid after a series of robust analyses. the rational use of data factors in daily business activities can help firms learn and apply external knowledge and technology. these findings provide useful policy implications for promoting the integration of data factors and corporate development to spur vitality of market entities at a micro level.

关键词： data factors corporate innovation cloud computing

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Current Hotspots of Virtual Team Research in the Context of bigdata: Visual Analysis Based on CiteSpace 8

Current Hotspots of Virtual Team Research in the Context of ...

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8th international conference on cloud computing and big data analytics (icccbda)

作者： Bao, Xiaona Zhang, Shuchang Li, Yanran Dalian Polytech Univ Business Adm Dalian Peoples R China

ISBN: (纸本)9781665455336

In order to analyze the changes in the research history of virtual teams in the context of big data at home and abroad, this paper uses citespace knowledge mapping software to visualize and analyze 400 papers in web of science in the past 10 years. the year of publication, core authors, publishing institutions and keyword clustering analysis were used to explore the hotspots of virtual team. this study shows that the existing research hotspots on virtual teams can be mainly clustered into eight categories, namely # 0 Team Performance, # 1 Virtual Teams, # 2 Leadership Emergence, # 3 Computer Mediated Communication, # 4 Knowledge Sharing, # 5 Team-Boundary Spanning, # 6 Global Teams and # 7 Well-Being. In the future research, we can enrich the research literature of virtual teams from topics such as emerging technology, team creativity and member mobility.

关键词： big data virtual team CiteSpace visual analysis

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Multi-level Arithmetic Network Method and Architecture for Distribution Network 8

Multi-level Arithmetic Network Method and Architecture for D...

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8th international conference on cloud computing and big data analytics (icccbda)

作者： Yuan, Jianan Zheng, Libin Huo, Chao Luo, Anqin Microelect Co Ltd Beijing SmartChip Beijing Peoples R China

ISBN: (纸本)9781665455336

With the construction of the power distribution Internet of things, the measurement system and other links will accumulate a large amount of data information. the data information of the power distribution network has a wide range of sources, a large amount of data information, and the relationship between different data is complex. Efficient data information collection, transmission and analysis can provide an important guarantee for reliable and stable power supply. In this paper, a multi-level computing network architecture is designed. By configuring edge terminals and edge gateways on the edge side, it works with the cloud master station to achieve reasonable configuration of services with different needs. On the basis of multi-level computing power network architecture, a computing power allocation scheme is proposed to provide reliable computing power requirements for end device services by combining computing power resources, network resources and priority presets.

关键词： computing edge computing computing resource scheduling

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An Approximation Computation Approach to big data Analysis with a Case Analysis of PV System 8

An Approximation Computation Approach to Big Data Analysis w...

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8th international conference on cloud computing and big data analytics (icccbda)

作者： Song, Wei Dalarna Univ Sch Informat Management Borlange Sweden

ISBN: (纸本)9781665455336

In the era of big data, it is indispensable to apply data science and technology for big data analysis to solve the big data problems. With the advancement of the big data technologies, we are also facing many problems when dealing with the big data and their studies. It is obvious that big data become "bigger" and "bigger", more complex than before, with a good number of attributes and features in various formats and styles. On the other hand, many data analysis techniques have been proposed for various application domain problems in different purposes. this worsens the situation of choosing an appropriate method for a right problem of right data. In this paper, the author intends to propose an approximation approach toward this problem, through discussing the ways of identification of patterns of the original data, be they of data features or analysis methods. the author attempts to apply the idea to a case of fault detection of a household photovoltaic system.

关键词： big data data analysis methodologies approximation photovoltaic systems fault detection

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Analysis of the Packet Pruning Apriori Algorithm 8

Analysis of the Packet Pruning Apriori Algorithm

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8th international conference on cloud computing and big data analytics (icccbda)

作者： Kang, Yanmei Zhang, Yongjian Li, Shi Mi, Liang Cheng, Qilei Chen, Xu Univ Int Relat Sch Cyber Sci & Engn Beijing Peoples R China Chengdu Med Coll Chengdu Peoples R China

ISBN: (纸本)9781665455336

Aiming at the low efficiency problem of the traditional Apriori algorithm, an LMC-Apriori algorithm is proposed in this paper. It uses a packet pruning approach to effectively reduce the cost of the search layer by layer, through mathematical proofs and experimental verification, it is shown that the calculation efficiency is significantly improved for cases with significant differences between the groups. this algorithm can find important applications in the intrusion detection technology, consumer market price analysis, mobile communications, and other fields.

关键词： Apriori algorithm data mining association rule algorithm packet pruning frequent item sets

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Genetic Algorithm Based Service Broker Policy to find Optimal datacenters in cloud Services 8

Genetic Algorithm Based Service Broker Policy to find Optima...

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8th international conference on cloud computing and big data analytics (icccbda)

作者： Chowdhury, Shusmoy Katangur, Ajay Sheta, Alaa Psayadala, Nagesh Rao Liu, Siming Missouri State Univ Dept Comp Sci Springfield MO 65897 USA Southern Connecticut State Univ Comp Sci Dept New Haven CT USA

ISBN: (纸本)9781665455336

In modern-day computing, cloud services are widely used in every aspect of life. So, user satisfaction depends on the effectiveness and efficiency of cloud services. Service broker policy of the cloud maintains the effectiveness and efficiency of cloud services. Service broker policy provides the rules and norms based on which a data center is selected for a userbase request. this paper proposes a genetic algorithm-based service broker policy that provides the optimal sequence of data centers for different userbases based on their requirements. this research aims to find an optimal data center for userbases that can achieve user satisfaction by minimizing the cloud service's response time and data processing time. We have experimented with our proposed genetic algorithm-based service broker policy in the cloudAnalyst platform based on different real-world scenarios. Simulation results indicate that our proposed genetic algorithm outperforms existing traditional algorithms.

关键词： cloud computing service broker policy genetic algorithm

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