Research of Big Data Based on the Views of Technology and Application

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American Journal of Industrial and Business Management

ISSN Print: 2164-5167
ISSN Online: 2164-5175
www.scirp.org/journal/ajibm
E-mail: ajibm@scirp.org

Google-based Impact Factor: 2.08
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"Research of Big Data Based on the Views of Technology and Application"
written by Zan Mo, Yanfei Li,
published by American Journal of Industrial and Business Management, Vol.5 No.4, 2015

has been cited by the following article(s):

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CrossRef

[1]	Understanding how big data awareness affects healthcare institution performance in Oman
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[2]	“智能+” 视角下大数据技术专业虚拟仿真教研室建设研究: Exploring the Establishment of Virtual Simulation Teaching and Research Rooms for Big Data Technology …
	Integration of Industry and Education, 2024

[3]	泛在感知与航天测绘
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[4]	Leveraging Big Data analytics-case of Kenyan telecoms
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[5]	A Descriptive Literature Review and Classification of Business Intelligence and Big Data Research
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[6]	Big-Data Management: A Driver for Digital Transformation?
	Information, 2021

[7]	Social Media Content Analysis: Machine Learning
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[8]	Impact of Big Data on Innovation, Competitive Advantage, Productivity, and Decision Making: Literature Review
	2021

[9]	Extended unified theory of acceptance and use of technology: the influence of behavioral intention on big data management adoption by Malaysian public research …
	2021

[10]	Understanding Consumer Behavior by Big Data Visualization in the Smart Space Laboratory
	2020

[11]	A Critical Insight of Contemporary Tools and Techniques in View of Social Synchrony
	2020

[12]	Efficient Approaches in Apache Spark for Solving the Large-Scale Data Problem
	Technical Report, 2020

[13]	Use of Manual and Electronic Records of Learners in Assessment
	2019

[14]	Recent advances of PGPR based approaches for stress tolerance in plants for sustainable agriculture
	Biocatalysis and agricultural …, 2019

[15]	Avaliação de preços e vendas no setor imobiliário utilizando o Big Data
	2019

[16]	Big Data and the Revolution of Political Campaign in Indonesia
	2019

[17]	Big Data and its Applications: A Review
	International Journal of Intelligent Computing and Technology, 2019

[18]	Speedup Query Processing in Hadoop Using Mapreduce Framework
	Data Research, 2018

[19]	Innovation in business through big data analytics
	2018

[20]	Analysis and Dimension Reduction of Big Data: A Review
	International Journal of Recent Trends in Engineering & Research (IJRTER), 2018

[21]	Research on Application of Data Mining Based on Improved APRIORI Algorithm in Enrollment Management in Colleges and Universities
	2018

[22]	HADOOP Ecosystem Analytics and Big Data for Advanced Computing Platforms
	2017

[23]	Secured Big Data Computing in Cloud Environments
	GRD Journals- Global Research and Development Journal for Engineering, 2017

[24]	Novel Algorithm for File Sharing using Grid Password and Keyword Search
	2017

[25]	Inovação nos Negócios por meio da Análise de Big Data
	2017

[26]	影響企業推動智慧機械重要因素之研究
	臺灣長榮大學學位論文, 2017

[27]	以工業 4.0 為基礎之智慧工廠大數據平台建置
	臺灣中原大學學位論文, 2017

[28]	The employees' perception on the adoption of big data analytics by selected medical aid organisations in Durban.
	2017

[29]	Map reduce programming model for parallel K-mediod algorithm on hadoop cluster
	2017

[30]	Investigation into the Risks Facing Mobile Banking: A Case of Commercial Banks in Kenya
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[31]	Benefits, Challenges and Tools of Big Data Management
	2017

[32]	Benefits, challenges and tools of big data management.
	Journal of Systems Integration (1804-2724), 2017

[33]	To Enhance Frequent Closed Pattern Tree using Fuzzy Clustering of Personalized Web-Log in Big Data
	International Journal of Computer Applications, 2016

[34]	Affective computing: A social aspect
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[35]	Manufacturing System Design Meets Big Data Analytics for Continuous Improvement
	Procedia CIRP, 2016

[36]	Social networking data analysis tools & challenges
	Future Generation Computer Systems, 2016

[37]	THE USE OF LEAN SIX SIGMA METHODOLOGY IN DIGITAL CURATION
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[38]	From Big Data to Big Hope: An outlook on recent trends and challenges
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[39]	The positive effect of the propaganda of family ethics and family education based on big data technology on the ideological work of youth

[1]	Artificial Intelligence, Big Data, Blockchain and 5G for the Digital Transformation of the Healthcare Industry 2024 DOI:10.1016/B978-0-443-21598-8.00001-4

[2]	The positive effect of the propaganda of family ethics and family education based on big data technology on the ideological work of youth Applied Mathematics and Nonlinear Sciences, 2024 DOI:10.2478/amns.2023.1.00235

[3]	The positive effect of the propaganda of family ethics and family education based on big data technology on the ideological work of youth Applied Mathematics and Nonlinear Sciences, 2024 DOI:10.2478/amns.2023.1.00235

[4]	The positive effect of the propaganda of family ethics and family education based on big data technology on the ideological work of youth Applied Mathematics and Nonlinear Sciences, 2024 DOI:10.2478/amns.2023.1.00235

[5]	Artificial Intelligence, Big Data, Blockchain and 5G for the Digital Transformation of the Healthcare Industry 2024 DOI:10.1016/B978-0-443-21598-8.00001-4

[6]	The positive effect of the propaganda of family ethics and family education based on big data technology on the ideological work of youth Applied Mathematics and Nonlinear Sciences, 2024 DOI:10.2478/amns.2023.1.00235

[7]	Artificial Intelligence, Big Data, Blockchain and 5G for the Digital Transformation of the Healthcare Industry 2024 DOI:10.1016/B978-0-443-21598-8.00001-4

[8]	The positive effect of the propaganda of family ethics and family education based on big data technology on the ideological work of youth Applied Mathematics and Nonlinear Sciences, 2023 DOI:10.2478/amns.2023.1.00235

[9]	Challenges and Applications of Data Analytics in Social Perspectives Advances in Data Mining and Database Management, 2021 DOI:10.4018/978-1-7998-2566-1.ch009

[10]	Understanding Consumer Behavior by Big Data Visualization in the Smart Space Laboratory Proceedings of the 2020 5th International Conference on Big Data and Computing, 2020 DOI:10.1145/3404687.3404705

[11]	A Critical Insight of Contemporary Tools and Techniques in View of Social Synchrony 2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2020 DOI:10.1109/ICRITO48877.2020.9197889

[12]	Ambient Communications and Computer Systems Advances in Intelligent Systems and Computing, 2018 DOI:10.1007/978-981-10-7386-1_48

[13]	Map reduce programming model for parallel K-mediod algorithm on hadoop cluster 2017 7th International Conference on Communication Systems and Network Technologies (CSNT), 2017 DOI:10.1109/CSNT.2017.8418514

[14]	Affective computing: A social aspect 2016 Fourth International Conference on Parallel, Distributed and Grid Computing (PDGC), 2016 DOI:10.1109/PDGC.2016.7913132

[15]	Manufacturing System Design Meets Big Data Analytics for Continuous Improvement Procedia CIRP, 2016 DOI:10.1016/j.procir.2016.05.004

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

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