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Data Science: 10th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2024, Macao, China, September 27-30, Proceedings, Part II

Data Science: 10th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2024, Macao, China, September 27-30, Proceedings, Part II in Franklin, TN

Current price: $84.99
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Data Science: 10th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2024, Macao, China, September 27-30, Proceedings, Part II

Barnes and Noble

Data Science: 10th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2024, Macao, China, September 27-30, Proceedings, Part II in Franklin, TN

Current price: $84.99
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Size: Paperback

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.
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.

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