Big Data Technologies and Applications
13th EAI International Conference, BDTA 2023, Edinburgh, UK, August 23-24, 2023, Proceedings
Published on 31. January 2024
Book
Paperback/Softback
XII, 192 pages
978-3-031-52264-2 (ISBN)
Description
This book constitutes the refereed post-conference proceedings of the 13
th
International Conference on Big Data Technologies and Applications, BDTA 2023, held in Edinburgh, United Kingdom, in August 2023.
The 8 full papers and 3 short papers of BDTA 2023 were selected from 23 submissions and present new advances and research results in the fields of big data technologies, collection and storage, big data management and retrieval, big data mining and approaches.
The 8 full papers and 3 short papers of BDTA 2023 were selected from 23 submissions and present new advances and research results in the fields of big data technologies, collection and storage, big data management and retrieval, big data mining and approaches.
More details
Series
Edition
1st ed. 2024
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
3 s/w Abbildungen, 50 farbige Abbildungen
XII, 192 p. 53 illus., 50 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 12 mm
Weight
318 gr
ISBN-13
978-3-031-52264-2 (9783031522642)
DOI
10.1007/978-3-031-52265-9
Schweitzer Classification
Other editions
Additional editions
Zhiyuan Tan | Yulei Wu | Min Xu
Big Data Technologies and Applications
13th EAI International Conference, BDTA 2023, Edinburgh, UK, August 23-24, 2023, Proceedings
E-Book
01/2024
Springer
€64.19
Available for download
Content
Infrared Few-shot Learning via Omnidirectional Compatible Class-Incremental.- Can Federated Models be Rectified through Learning Negative Gradients? .- BigText-QA: Question Answering over a Large-Scale Hybrid Knowledge Graph.- STLGCN: spatial-temporal Graph Convolutional Network for Long Term Tra?ic Forecasting.- Image Forgery Detection using Cryptography and Deep Learning.- Revocable Attribute-based Encryption Scheme With Cryptographic Reverse Firewalls.- IoT Attacks Countermeasures: Systematic Review and Future Research Direction.- A Bibliometric Analysis and Systematic Review of a Blockchain-Based Chain of Custody for Digital Evidence.- Forest Fire Prediction using Multi-Source Deep Learning.- Research on Preprocessing process for Improved image generation based on Contrast Enhancement.- An Auditable Framework for Evidence Sharing and Management using Smart Lockers and Distributed Technologies: Law Enforcement Use Case. A Review of the Non-Fungible Tokens (NFT): Challenges and Opportunities.