Big Data – BigData 2023 -

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
Buch | Softcover
XIV, 232 Seiten
2023 | 1st ed. 2023
Springer International Publishing (Verlag)
978-3-031-44724-2 (ISBN)
62,05 inkl. MwSt

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.

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.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Computer Science
Zusatzinfo XIV, 232 p. 63 illus., 42 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 385 g
Themenwelt Mathematik / Informatik Informatik Datenbanken
Mathematik / Informatik Informatik Netzwerke
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Informatik Weitere Themen Hardware
Schlagworte Data Analysis • data as a service • Data centers • Dataflow Architecture • Data Lake • Data Management • Data Modeling • data storage
ISBN-10 3-031-44724-7 / 3031447247
ISBN-13 978-3-031-44724-2 / 9783031447242
Zustand Neuware
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