Reprint

Review Papers in Big Data, Cloud-Based Data Analysis and Learning Systems

Edited by
June 2023
224 pages
  • ISBN978-3-0365-8000-5 (Hardback)
  • ISBN978-3-0365-8001-2 (PDF)

This book is a reprint of the Special Issue Review Papers in Big Data, Cloud-Based Data Analysis and Learning Systems that was published in

Computer Science & Mathematics
Summary

The use of advanced and scalable algorithms, along with parallel programming frameworks and high-performance computers, is commonly used to solve Big Data problems and obtain valuable information and learning processes in a reasonable time. This Special Issue includes high-quality research papers in the fields of big data, cloud-based data analysis, and machine learning systems. In particular, wide-ranging surveys and advanced research papers are included, focusing both on aspects relating to big data (e.g., frameworks for big data analysis or systems for big data management) and on the use of big data in application areas (e.g., big data from social media or big data from streams).

Format
  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
Keywords
big data; cloud computing; scalable computing systems; High-performance computing; data analysis; machine learning systems; big data applications;

Related Books

August 2023

Advanced Machine Learning Applications in Big Data Analytics

Social Sciences, Arts & Humanities
...
November 2022

Intelligent Computing for Big Data

Computer Science & Mathematics
...
January 2024

Data Mining and Machine Learning with Applications

Computer Science & Mathematics
September 2022

Big Data for eHealth Applications

Public Health & Healthcare