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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 / Henry Han, editor.

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...

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Bibliographic Details
Online Access: Full Text (via Springer)
Corporate Author: Southwest Data Science Conference Waco, Tex.
Other Authors: Han, Henry (Computer scientist) (Editor)
Other title:SDSC 2024
Format: Conference Proceeding eBook
Language:English
Published: Cham : Springer, [2024]
Series:Communications in computer and information science ; 2158.
Subjects:
Big data > Congresses.
Artificial intelligence > Congresses.
Database management > Congresses.
Table of Contents:
  • -- 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.

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