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Big Data : 8th CCF Conference, BigData 2020, Chongqing, China, October 22-24, 2020, Revised Selected Papers / edited by Hong Mei, Weiguo Zhang, Wenfei Fan, Zili Zhang, Yihua Huang, Jiajun Bu, Yang Gao, Li Wang.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Mei, Hong, Editor.
Zhang, Weiguo, Editor.
Fan, Wenfei, Editor.
Zhang, Zili, Editor.
Huang, Yihua, Editor.
Bu, Jiajun., Editor.
Gao, Yang, Editor.
Wang, Li, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Communications in computer and information science 1865-0937 ; 1320
Communications in Computer and Information Science, 1865-0937 ; 1320
Language:
English
Subjects (All):
Artificial intelligence.
Computer engineering.
Computer networks.
Social sciences-Data processing.
Education-Data processing.
Computer science-Mathematics.
Image processing-Digital techniques.
Computer vision.
Artificial Intelligence.
Computer Engineering and Networks.
Computer Application in Social and Behavioral Sciences.
Computers and Education.
Mathematics of Computing.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Local Subjects:
Artificial Intelligence.
Computer Engineering and Networks.
Computer Application in Social and Behavioral Sciences.
Computers and Education.
Mathematics of Computing.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Physical Description:
1 online resource (XVIII, 243 pages) : 98 illustrations, 85 illustrations in color.
Edition:
1st ed. 2021.
Contained In:
Springer Nature eBook
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2021.
System Details:
text file PDF
Summary:
This book constitutes the proceedings of the 8th CCF Conference on Big Data, BigData 2020, held in Chongqing, China, in October 2020. The 16 full papers presented in this volume were carefully reviewed and selected from 65 submissions. They present recent research on theoretical and technical aspects on big data, as well as on digital economy demands in big data applications. .
Contents:
A Short Text Classification Model Based on Cross-Layer Connected Gated Recurrent Unit Capsule Network
Image Compressed Sensing using Neural Architecture Search
Discovery of Sparse Formula Based on Elastic Network Method and its Application in Identification of Turbulent Boundary Layer Wall Function
Rotation-Dpeak: Improving Density Peaks Selection for Imbalanced Data
Introducing MDPSD, a Multimodal Dataset for Psychological Stress Detection
Small-Scale Data Classification Based Deep Forest
An Answer Sorting Method Combining Multiple Neural Networks and Attentional Mechanisms
Optimal Subspace Analysis based on Information-Entropy Increment
Link Prediction of Attention Flow Network Based on Maximum Entropy Model
Graph Representation Learning using Attention Network
Food Pairing Based on Generative Adversarial Networks
Comparisons of Deep Neural Networks in Multi-Label Classification for Chinese Recipes
Improving Word Alignment With Contextualized Embedding and Bilingual Dictionary
Hypernetwork Model Based on Logistic Regression
Multi Dimensional Evaluation of Middle School Students' Physical and Mental Quality and Intelligent Recommendation of Exercise Programs Based on Big Data Analysis
Diversity-Aware Top-N Recommendation: A Deep Reinforcement Learning way.
Other Format:
Printed edition:
ISBN:
978-981-16-0705-9
9789811607059
Access Restriction:
Restricted for use by site license.

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