Data Science
10th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2024, Macao, China, September 27-30, 2024, Proceedings, Part III
Herausgegeben: Xu, Chengzhong; Pan, Haiwei; Yu, Chen; Wang, Jianping; Han, Qilong; Song, Xianhua; Lu, Zeguang
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This three-volume set CCIS 2213-2215 constitutes the refereed proceedings of the 10th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2024, held in Macau, China, during September 27-30, 2024.The 74 full papers and 3 short papers presented in these three volumes were carefully reviewed and selected from 249 submissions.The papers are organized in the following topical sections:Part I: Novel methods or tools used in big data and its applications; applications of data science.Part II: Education research, methods and materials for data science and engin...
This three-volume set CCIS 2213-2215 constitutes the refereed proceedings of the 10th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2024, held in Macau, China, during September 27-30, 2024.
The 74 full papers and 3 short papers presented in these three volumes were carefully reviewed and selected from 249 submissions.
The papers are organized in the following topical sections:
Part I: Novel methods or tools used in big data and its applications; applications of data science.
Part II: Education research, methods and materials for data science and engine; data security and privacy; big data mining and knowledge management.
Part III: Infrastructure for data science; social media and recommendation system; multimedia data management and analysis.
The 74 full papers and 3 short papers presented in these three volumes were carefully reviewed and selected from 249 submissions.
The papers are organized in the following topical sections:
Part I: Novel methods or tools used in big data and its applications; applications of data science.
Part II: Education research, methods and materials for data science and engine; data security and privacy; big data mining and knowledge management.
Part III: Infrastructure for data science; social media and recommendation system; multimedia data management and analysis.
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