Recent Advances in Next-Generation Data Science

Third Southwest Data Science Conference, SDSC 2024, Waco, TX, USA, March 22, 2024, Revised Selected Papers

Häftad, Engelska, 2024

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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.

Produktinformation

Utgivningsdatum2024-08-09
Mått155 x 235 x 14 mm
Vikt382 g
FormatHäftad
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor236
FörlagSpringer International Publishing AG
ISBN9783031678707

Tillhör följande kategorier

Tillämpad datateknik inom Data och it
Systemvetenskap och AI inom Data och it
Hårdvara inom Data och it
Artificiell intelligens inom Data och it

.- 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 dynamicalnetworks and its application in secure communication..- Classification of in-situ Solar Wind Data Measured by Solar Orbiter/SWA-PAS and HIS usingMachine Learning..- Node classification with Multi-hop Graph Convolutional Network..- PyDaskShift: Automatically Convert Loop-Based Sequential Programs to Distributed Parallel Programs.