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Recent advances in next-generation d...

Southwest Data Science Conference (2024 :)

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Recent advances in next-generation data science = third Southwest Data Science Conference, SDSC 2024, Waco, TX, USA, March 22, 2024 : revised selected papers /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Recent advances in next-generation data science/ edited by Henry Han.
其他題名:	third Southwest Data Science Conference, SDSC 2024, Waco, TX, USA, March 22, 2024 : revised selected papers /
其他題名:	SDSC 2024
其他作者:	Han, Henry.
團體作者:	Southwest Data Science Conference
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	x, 236 p. :ill. (chiefly col.), digital ;24 cm.
內容註:	Wasserstein graph convolutional network with attention for imbalanced scRNA-seq data knowledge discovery. -- Toward a Unified Cybersecurity Knowledge Graph: Leveraging Ontologies and Open Data Sources. -- How does normalization impact clustering?. -- Quantitative Stock Market Modeling Using Multivariate Geometric Random Walk. -- Disease Similarity and Disease Clustering. -- Composition analysis and identification of ancient glass products. -- Data entropy-based imbalanced learning. -- Analysis of the changes in microbial community during the fermentation of Feng-flavour Baijiu. -- EnhanciGraph: Visualizing Enhancer-Gene Interactions. -- Event-triggered Control for Synchronization of Chaotic Delayed Lur'e Systems with Stochastic cyber-attacks. -- In-game Win Prediction Models for Cricket. -- Finite-time outer average synchronization between two coupled heterogeneous complex dynamical networks and its application in secure communication. -- Classification of in-situ Solar Wind Data Measured by Solar Orbiter/SWA-PAS and HIS using Machine Learning. -- Node classification with Multi-hop Graph Convolutional Network. -- PyDaskShift: Automatically Convert Loop-Based Sequential Programs to Distributed Parallel Programs.
Contained By:	Springer Nature eBook
標題:	Big data - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-67871-4
ISBN:	9783031678714

Recent advances in next-generation data science = third Southwest Data Science Conference, SDSC 2024, Waco, TX, USA, March 22, 2024 : revised selected papers /
Recent advances in next-generation data sciencethird Southwest Data Science Conference, SDSC 2024, Waco, TX, USA, March 22, 2024 : revised selected papers /[electronic resource] :SDSC 2024edited by Henry Han. - Cham :Springer Nature Switzerland :2024. - x, 236 p. :ill. (chiefly col.), digital ;24 cm. - Communications in computer and information science,21581865-0937 ;. - Communications in computer and information science ;2158..

Wasserstein graph convolutional network with attention for imbalanced scRNA-seq data knowledge discovery. -- Toward a Unified Cybersecurity Knowledge Graph: Leveraging Ontologies and Open Data Sources. -- How does normalization impact clustering?. -- Quantitative Stock Market Modeling Using Multivariate Geometric Random Walk. -- Disease Similarity and Disease Clustering. -- Composition analysis and identification of ancient glass products. -- Data entropy-based imbalanced learning. -- Analysis of the changes in microbial community during the fermentation of Feng-flavour Baijiu. -- EnhanciGraph: Visualizing Enhancer-Gene Interactions. -- Event-triggered Control for Synchronization of Chaotic Delayed Lur'e Systems with Stochastic cyber-attacks. -- In-game Win Prediction Models for Cricket. -- Finite-time outer average synchronization between two coupled heterogeneous complex dynamical networks and its application in secure communication. -- Classification of in-situ Solar Wind Data Measured by Solar Orbiter/SWA-PAS and HIS using Machine Learning. -- Node classification with Multi-hop Graph Convolutional Network. -- PyDaskShift: Automatically Convert Loop-Based Sequential Programs to Distributed Parallel Programs.

This book constitutes the refereed proceedings of the Third Southwest Data Science Conference, on Recent advances in next-generation data science, SDSC 2024, held in Waco, TX, USA, in March 22, 2024. The 15 full papers presented were carefully reviewed and selected from 59 submissions. These papers focus on AI security in next-generation data science and address a range of challenges, from protecting sensitive data to mitigating adversarial threats.

ISBN: 9783031678714

Standard No.: 10.1007/978-3-031-67871-4doiSubjects--Topical Terms:

3166510
Big data
--Congresses.

LC Class. No.: QA76.9.B45 / S68 2024

Dewey Class. No.: 005.7

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