Proceedings of Data Analytics and Management ICDAM 2023, Volume 1 /

Библиографические подробности
Автор-организация: SpringerLink (Online service)
Другие авторы: Swaroop, Abhishek (Редактор), Polkowski, Zdzislaw (Редактор), Correia, Sérgio Duarte (Редактор), Virdee, Bal (Редактор)
Примечания:XXVI, 695 p. 284 illus., 221 illus. in color.
text
Язык:английский
Опубликовано: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Издание:1st ed. 2024.
Серии:Lecture Notes in Networks and Systems, 785
Предметы:
Online-ссылка:https://doi.org/10.1007/978-981-99-6544-1
Формат: Электронный ресурс Книга
Оглавление:
  • 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.