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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 / edited by Henry Han.
Springer Nature - Springer Computer Science eBooks 2024 English International Available online
View online- Format:
- Book
- Author/Creator:
- Han, Henry.
- Series:
- Communications in Computer and Information Science, 1865-0937 ; 2158
- Language:
- English
- Subjects (All):
- Application software.
- Computer engineering.
- Computer networks.
- Artificial intelligence.
- Computer science--Mathematics.
- Computer science.
- Image processing--Digital techniques.
- Image processing.
- Computer vision.
- Computer and Information Systems Applications.
- Computer Engineering and Networks.
- Artificial Intelligence.
- Mathematics of Computing.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Computer Communication Networks.
- Local Subjects:
- Computer and Information Systems Applications.
- Computer Engineering and Networks.
- Artificial Intelligence.
- Mathematics of Computing.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Computer Communication Networks.
- Physical Description:
- 1 online resource (247 pages)
- Edition:
- 1st ed. 2024.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
- Summary:
- 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.
- 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.
- Notes:
- Description based on publisher supplied metadata and other sources.
- Other Format:
- Print version: Han, Henry Recent Advances in Next-Generation Data Science
- ISBN:
- 9783031678714
- OCLC:
- 1453252416
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