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Data Science

av Zhiwen Yu

del av Communications in Computer and-serien

del av Communications in Computer and Information Science-serien

Data Science av Zhiwen Yu
Om Data Science

This two-volume set (CCIS 1879 and 1880) constitutes the refereed proceedings of the 9th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2023 held in Harbin, China, during September 22¿24, 2023. The 52 full papers and 14 short papers presented in these two volumes were carefully reviewed and selected from 244 submissions. The papers are organized in the following topical sections: Part I: Applications of Data Science, Big Data Management and Applications, Big Data Mining and Knowledge Management, Data Visualization, Data-driven Security, Infrastructure for Data Science, Machine Learning for Data Science and Multimedia Data Management and Analysis. Part II: Data-driven Healthcare, Data-driven Smart City/Planet, Social Media and Recommendation Systems and Education using big data, intelligent computing or data mining, etc.

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  • Språk:
  • Engelska
  • ISBN:
  • 9789819959679
  • Format:
  • Häftad
  • Sidor:
  • 520
  • Utgiven:
  • 7. oktober 2023
  • Utgåva:
  • 23001
  • Mått:
  • 155x28x235 mm.
  • Vikt:
  • 779 g.
Leveranstid: 2-4 veckor
Förväntad leverans: 16. december 2024

Om Zhiwen Yu

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Beskrivning av Data Science

This two-volume set (CCIS 1879 and 1880) constitutes the refereed proceedings of the 9th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2023 held in Harbin, China, during September 22¿24, 2023.
The 52 full papers and 14 short papers presented in these two volumes were carefully reviewed and selected from 244 submissions.
The papers are organized in the following topical sections:
Part I: Applications of Data Science, Big Data Management and Applications, Big Data Mining and Knowledge Management, Data Visualization, Data-driven Security, Infrastructure for Data Science, Machine Learning for Data Science and Multimedia Data Management and Analysis.
Part II: Data-driven Healthcare, Data-driven Smart City/Planet, Social Media and Recommendation Systems and Education using big data, intelligent computing or data mining, etc.

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