Data Science

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Bibliographische Detailangaben
Titel: Data Science
Beschreibung: This two volume set (CCIS 1451 and 1452) constitutes the refereed proceedings of the 7th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2021 held in Taiyuan, China, in September 2021.The 81 papers presented in these two volumes were carefully reviewed and selected from 256 submissions. The papers are organized in topical sections on big data management and applications; social media and recommendation systems; infrastructure for data science; basic theory and techniques for data science; machine learning for data science; multimedia data management and analysis; ​social media and recommendation systems; data security and privacy; applications of data science; education research, methods and materials for data science and engineering; research demo.
Autoren: Jianchao Zeng, Pinle Qin, Weipeng Jing, Xianhua Song, Zeguang Lu
Resource Type: eBook.
Schlagworte: Data mining--Congresses, Big data--Congresses
Categories: COMPUTERS / Data Science / Data Analytics, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Business & Productivity Software / General, COMPUTERS / Computer Architecture, COMPUTERS / Information Theory, COMPUTERS / Networking / General, COMPUTERS / Hardware / General, MATHEMATICS / Probability & Statistics / General
Datenbank: eBook Index
Beschreibung
Abstract:This two volume set (CCIS 1451 and 1452) constitutes the refereed proceedings of the 7th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2021 held in Taiyuan, China, in September 2021.The 81 papers presented in these two volumes were carefully reviewed and selected from 256 submissions. The papers are organized in topical sections on big data management and applications; social media and recommendation systems; infrastructure for data science; basic theory and techniques for data science; machine learning for data science; multimedia data management and analysis; ​social media and recommendation systems; data security and privacy; applications of data science; education research, methods and materials for data science and engineering; research demo.
ISBN:9789811659423
9789811659430