Big Data

Xiangke Liao

ISBN 10: 9811697086 / ISBN 13: 9789811697081

Edité par Springer Nature Singapore Jan 2022, 2022

A propos de cet article

This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the proceedings of the 9th CCF Conference on Big Data, BigData 2021, held in Guangzhou, China, in January 2022. Due to the COVID-19 pandemic BigData 2021 was postponed to 2022.The 21 full papers presented in this volume were carefully reviewed and selected from 66 submissions. They present recent research ontheoretical and technical aspects on big data, as well as on digital economy demands in big data applications. 344 pp. Englisch.

N° de réf. du vendeur 9789811697081

Détails bibliographiques

• Titre: Big Data
• Éditeur: Springer Nature Singapore Jan 2022
• Date de parution: 2022
• Langue: anglais
• ISBN à 10 chiffres: 9811697086
• ISBN à 13 chiffres: 9789811697081
• Reliure: Taschenbuch
• État de l'article: Neu
• Dimensions: 235 L x 155 H x 19 P (en millimètres) 235 millimètres de largeur par 155 millimètres de hauteur par 19 millimètres de profondeur
• Poids: 522 grammes

A propos de ce titre

Synopsis

This book constitutes the proceedings of the 9th CCF Conference on Big Data, BigData 2021, held in Guangzhou, China, in January 2022. Due to the COVID-19 pandemic BigData 2021 was postponed to 2022.

The 21 full papers presented in this volume were carefully reviewed and selected from 66 submissions. They present recent research on theoretical and technical aspects on big data, as well as on digital economy demands in big data applications.