Application of big data technology and clustering algorithm in business activities

التفاصيل البيبلوغرافية
العنوان: Application of big data technology and clustering algorithm in business activities
المؤلفون: Yunze Wu, Shaohong Luan
المصدر: 2021 4th International Conference on Information Systems and Computer Aided Education.
بيانات النشر: ACM, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Computer science, business.industry, Data management, Big data, Robust statistics, Business activities, computer.software_genre, Principal component analysis, Resource Acquisition Is Initialization, Data mining, Mean-shift, Cluster analysis, business, computer
الوصف: As big data technology penetrates all aspects of our lives; more and more industries are beginning to apply big data technology. Its robust data analysis, resource acquisition, and predictive capabilities have brought tremendous business activities as a brand-new data management technology. This article analyzes the big data technology application in business activities and introduces the principles of two essential algorithms in big data technology, clustering algorithm, and principal component analysis. Moreover, it introduces applying the mean shift clustering and principal component analysis in clustering algorithm to analyze the commercial data. Finally, a comprehensive analysis of the advantages and disadvantages of big data technology is made.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::673602b4e4fa51c44d6bccf2e6d77763
https://doi.org/10.1145/3482632.3487482
رقم الأكسشن: edsair.doi...........673602b4e4fa51c44d6bccf2e6d77763
قاعدة البيانات: OpenAIRE