Fr. 89.00

Big Data - BigData 2023 - 12th International Conference, Held as Part of the Services Conference Federation, SCF 2023, Honolulu, HI, USA, September 23-26, 2023, Proceedings

English · Paperback / Softback

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Description

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This book constitutes the refereed proceedings of the 12th International Conference, BigData 2023, Held as Part of the Services Conference Federation, SCF 2023, Honolulu, HI, USA, during September 23-26, 2023.  
The 14 full papers presented together with 2 short papers were carefully reviewed and selected from 27 submissions. The conference focuses on  research track and application track.

List of contents

Research Track.- A Survey on Cross-domain Few-Shot Image Classification.- Exploring the Predictive Power of Correlation and Mutual Information in Attention Temporal Graph Convolutional Network for COVID-19 Forecasting.- IoT Lakehouse: A New Data Management Paradigm for AIoT.- HMGR: A Hybrid Model for Geolocation Recommendation.- Non-essential Perspective on Thinking Law of Data Protection and Utilization.- The Shifting Role of Government in Government Data Openness.- How do we talk and feel about COVID-19? Sentiment Analysis of Twitter Topics.- Lightweight Weight Update for Convolutional Neural Networks.- Bioinformatics-based Acquisition Of Alzheimer's Disease Hub Genes.- Application Track.- Enhanced Campus Information Query System based on ChatGPT Interface and Local Content Database.- Prediction of TrkB complex and antidepressant targets leveraging big data.- Does Trust Improve Commercial InsuranceParticipation Behavior?.- Research on Big Data Empowering Ecological Governance.- Research on Complex Financial Ecosystem Modeling and Traceability Analysis Based on Heterogeneous Graph Attention Networks.- Short Paper Track.- Accelerate SVM Training with OHD-SVM on GPU.- Construction of data security system.

Product details

Assisted by Bo Hu (Editor), Liang-Jie Zhang (Editor), Shunli Zhang (Editor)
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 01.10.2023
 
EAN 9783031447242
ISBN 978-3-0-3144724-2
No. of pages 232
Dimensions 155 mm x 13 mm x 235 mm
Illustrations XIV, 232 p. 63 illus., 42 illus. in color.
Series Lecture Notes in Computer Science
Subject Natural sciences, medicine, IT, technology > IT, data processing > IT

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