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Big data technologies and applications = 13th EAI International Conference, BDTA 2023, Edinburgh, UK, August 23-24, 2023 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big data technologies and applications/ edited by Zhiyuan Tan, Yulei Wu, Min Xu.
Reminder of title:	13th EAI International Conference, BDTA 2023, Edinburgh, UK, August 23-24, 2023 : proceedings /
remainder title:	BDTA 2023
other author:	Tan, Zhiyuan.
corporate name:	BDTA (Conference)
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xii, 192 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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 Traﬀic 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.
Contained By:	Springer Nature eBook
Subject:	Big data - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-52265-9
ISBN:	9783031522659

Big data technologies and applications = 13th EAI International Conference, BDTA 2023, Edinburgh, UK, August 23-24, 2023 : proceedings /
Big data technologies and applications13th EAI International Conference, BDTA 2023, Edinburgh, UK, August 23-24, 2023 : proceedings /[electronic resource] :BDTA 2023edited by Zhiyuan Tan, Yulei Wu, Min Xu. - Cham :Springer Nature Switzerland :2024. - xii, 192 p. :ill. (some col.), digital ;24 cm. - Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering,5551867-822X ;. - Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering ;555..

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 Traﬀic 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.

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.

ISBN: 9783031522659

Standard No.: 10.1007/978-3-031-52265-9doiSubjects--Topical Terms:

3166510
Big data
--Congresses.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

Big data technologies and applications = 13th EAI International Conference, BDTA 2023, Edinburgh, UK, August 23-24, 2023 : proceedings /
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