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Big Data Technologies and Applications -

Big Data Technologies and Applications

13th EAI International Conference, BDTA 2023, Edinburgh, UK, August 23-24, 2023, Proceedings

Zhiyuan Tan, Yulei Wu, Min Xu (Herausgeber)

Buch | Softcover
XII, 192 Seiten
2024 | 1st ed. 2024
Springer International Publishing (Verlag)
978-3-031-52264-2 (ISBN)
CHF 89,85 inkl. MwSt
This book constitutes the refereed post-conference proceedings of the 13th 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.

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.

Erscheinungsdatum
Reihe/Serie Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Zusatzinfo XII, 192 p. 53 illus., 50 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 320 g
Themenwelt Mathematik / Informatik Informatik Netzwerke
Schlagworte Access Control • Artificial Intelligence • Big Data • big data approaches • Big data management • Big data mining • big data retrieval • collection and storage • Computer Networks • Database Systems • Data Management • Data Mining • data technologies • Firewall • Image Analysis • Information Technology • Network Protocols • Security of data
ISBN-10 3-031-52264-8 / 3031522648
ISBN-13 978-3-031-52264-2 / 9783031522642
Zustand Neuware
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