Big Data Technologies and Applications
Springer International Publishing (Verlag)
978-3-031-52264-2 (ISBN)
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 | 31.01.2024 |
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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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