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 /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Recent advances in next-generation data science/ edited by Henry Han.
    Reminder of title: third Southwest Data Science Conference, SDSC 2024, Waco, TX, USA, March 22, 2024 : revised selected papers /
    remainder title: SDSC 2024
    other author: Han, Henry.
    corporate name: Southwest Data Science Conference
    Published: Cham :Springer Nature Switzerland : : 2024.,
    Description: x, 236 p. :ill. (chiefly col.), digital ;24 cm.
    [NT 15003449]: 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
    Subject: Big data - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-031-67871-4
    ISBN: 9783031678714
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W9498705 電子資源 11.線上閱覽_V 電子書 EB QA76.9.B45 S68 2024 一般使用(Normal) On shelf 0
  • 1 records • Pages 1 •
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