Data Science in Applications
| 団体著者: | |
|---|---|
| その他の著者: | , , |
| 要約: | XII, 252 p. 100 illus., 76 illus. in color. text |
| 言語: | 英語 |
| 出版事項: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
|
| 版: | 1st ed. 2023. |
| シリーズ: | Studies in Computational Intelligence,
1084 |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/978-3-031-24453-7 |
| フォーマット: | 電子媒体 図書 |
目次:
- 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.