Data Science : 11th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2025, Hiroshima, Japan, September 19-21, 2025, Proceedings

Yi Yu

ISBN 10: 9819525659 / ISBN 13: 9789819525652

Published by Springer, Springer Nature Singapore, 2025

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 11th International Conference onData Science, ICPCSEE 2025, held in Hiroshima, Japan,during September 19 21, 2025.The 41 full papers and 1 short papers included in this book were carefully reviewed andselected from 135 submissions. They were organized in topical sections as follows: Education using big data, intelligent computing or data mining, etc.; Education research, methods and materials for data science and engineering; Machine Learning for Data Science; Basic Theory and Techniques for Data Science; Application of Blockchain; Big Data Management and Applications; Industrial Digitization and Applications; Applications of Data Science; Data Security and Privacy; Data-driven Scientific Research; and Novel methods for data analytics.

Seller Inventory # 9789819525652

Bibliographic Details

• Title: Data Science : 11th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2025, Hiroshima, Japan, September 19-21, 2025, Proceedings
• Publisher: Springer, Springer Nature Singapore
• Publication Date: 2025
• Language: English
• ISBN 10: 9819525659
• ISBN 13: 9789819525652
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 36D millimeters 235 millimeters width by 155 millimeters height by 36 millimeters depth
• Weight: 978 grams

About this title

Synopsis

This book constitutes the refereed proceedings of the 11th International Conference on Data Science, ICPCSEE 2025, held in Hiroshima, Japan, during September 19–21, 2025.

The 41 full papers and 1 short papers included in this book were carefully reviewed and selected from 135 submissions. They were organized in topical sections as follows: Education using big data, intelligent computing or data mining, etc.; Education research, methods and materials for data science and engineering; Machine Learning for Data Science; Basic Theory and Techniques for Data Science; Application of Blockchain; Big Data Management and Applications; Industrial Digitization and Applications; Applications of Data Science; Data Security and Privacy; Data-driven Scientific Research; and Novel methods for data analytics.