Overview

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.

Full Product Details

Author:   Henry Han
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2024 ed.
Volume:   2158
ISBN:  

9783031678707

ISBN 10:   3031678702
Pages:   236
Publication Date:   09 August 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

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.

Reviews

Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions