Proceedings of Data Analytics and Management ICDAM 2023, Volume 1 /
| 企業作者: | |
|---|---|
| 其他作者: | , , , |
| 總結: | XXVI, 695 p. 284 illus., 221 illus. in color. text |
| 語言: | 英语 |
| 出版: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2024.
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| 版: | 1st ed. 2024. |
| 叢編: | Lecture Notes in Networks and Systems,
785 |
| 主題: | |
| 在線閱讀: | https://doi.org/10.1007/978-981-99-6544-1 |
| 格式: | 電子 圖書 |
書本目錄:
- Chapter 1: Diagnosis of Parkinson disease using Ensemble methods for Class Imbalance Problem
- Chapter 2: A Comparative Analysis of Pneumonia Detection Using Chest X-Rays With DNN
- Chapter 3: Machine Learning Based Binary Sentiment Classification of Movie Reviews in Hindi (Devanagari Script)
- Chapter 4: Deep Learning-Based Recommendation Systems: Review and Critical Analysis
- Chapter 5: Retention in Second Year Computing Students in a London-Based University During The Post-Covid-19 Era Using Learned Optimism as a Lens: A Statistical Analysis in R
- Chapter 6: Alzheimer’s Disease Knowledge Graph Based on Ontology and Neo4j Graph Database
- Chapter 7: Forecasting Bitcoin Prices in the Context of the COVID19 Pandemic Using Machine Learning Approaches
- Chapter 8: Online Food Delivery Customer Churn Prediction: A Quantitative Analysis on the Performance of Machine Learning Classifiers
- Chapter 9: Prevention Equipment for COVID-19 Spread Using IoT and Multimedia-Based Solutions
- Chapter 10: Renal Disease Classification using Image Processing. etc.