UID:
almahu_9949567192102882
Umfang:
XIV, 232 p. 63 illus., 42 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2023.
ISBN:
9783031447259
Serie:
Lecture Notes in Computer Science, 14203
Inhalt:
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.
Anmerkung:
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 Insurance Participation 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.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783031447242
Weitere Ausg.:
Printed edition: ISBN 9783031447266
Sprache:
Englisch
DOI:
10.1007/978-3-031-44725-9
URL:
https://doi.org/10.1007/978-3-031-44725-9
