"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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[1] Big Data and its Applications: A Review
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[2] Big Data and the Revolution of Political Campaign in Indonesia
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[3] Speedup Query Processing in Hadoop Using Mapreduce Framework
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[4] Innovation in business through big data analytics
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[5] Analysis and Dimension Reduction of Big Data: A Review
International Journal of Recent Trends in Engineering & Research (IJRTER), 2018
[6] Research on Application of Data Mining Based on Improved APRIORI Algorithm in Enrollment Management in Colleges and Universities
2018
[7] HADOOP Ecosystem Analytics and Big Data for Advanced Computing Platforms
2017
[8] Secured Big Data Computing in Cloud Environments
GRD Journals- Global Research and Development Journal for Engineering, 2017
[9] Novel Algorithm for File Sharing using Grid Password and Keyword Search
2017
[10] Inovação nos Negócios por meio da Análise de Big Data
2017
[11] 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
[12] 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
[13] The employees' perception on the adoption of big data analytics by selected medical aid organisations in Durban.
2017
[14] Map reduce programming model for parallel K-mediod algorithm on hadoop cluster
2017
[15] Investigation into the Risks Facing Mobile Banking: A Case of Commercial Banks in Kenya
2017
[16] Benefits, Challenges and Tools of Big Data Management
2017
[17] To Enhance Frequent Closed Pattern Tree using Fuzzy Clustering of Personalized Web-Log in Big Data
International Journal of Computer Applications, 2016
[18] Affective computing: A social aspect
2016
[19] Manufacturing System Design Meets Big Data Analytics for Continuous Improvement
Procedia CIRP, 2016
[20] Social networking data analysis tools & challenges
Future Generation Computer Systems, 2016
[21] THE USE OF LEAN SIX SIGMA METHODOLOGY IN DIGITAL CURATION
Semantic Scholar, 2016
[22] From Big Data to Big Hope: An outlook on recent trends and challenges
2016