Data Science in Applications [E-Book] / edited by Gintautas Dzemyda, Jolita Bernatavičienė, Janusz Kacprzyk.
This book provides an overview of a wide range of relevant applications and reveals how to solve them. Many of the latest applications in finance, technology, education, medicine and other important and relevant fields are data-driven. The volumes of data are enormous. Specific methods need to be de...
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Full text |
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| Personal Name(s): | Bernatavičienė, Jolita, editor |
| Dzemyda, Gintautas, editor / Kacprzyk, Janusz, editor | |
| Edition: |
1st edition 2023. |
| Imprint: |
Cham :
Springer,
2023
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| Physical Description: |
XII, 252 pages 100 illustrations, 76 illustrations in color (online resource) |
| Note: |
englisch |
| ISBN: |
9783031244537 |
| DOI: |
10.1007/978-3-031-24453-7 |
| Series Title: |
Studies in Computational Intelligence ;
1084 |
| Subject (LOC): |
- Computational Thinking Design Application for STEAM Education
- Education Data for Science: Case of Lithuania
- Imbalanced Data Classification Approach Based on Clustered Training Set
- Baltic States in Global Value Chains: Quantifying International Production Sharing at Bilateral and Sectoral Levels
- The Soft Power Of Understanding Social Media Dynamics: A Data-Driven Approach
- Bootstrapping Network Autoregressive Models for Testing Linearity
- Novel data science methodologies for essential genes identification based on network analysis
- Acoustic Analysis for Vocal Fold Assessment - Challenges, Trends, and Opportunities
- The Paradigm of an Explainable Artificial Intelligence (XAI) and Data Science (DS) Based Decision Support System (DSS)
- Stock Portfolio Risk-Return Ratio Optimisation using Grey Wolf Model
- Towards Seamless Execution of Deep Learning Application on Heterogeneous HPC Systems.