New Trends in Big Data Analysis, Optimization, and Algorithms
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: closed (1 March 2026) | Viewed by 1632
Special Issue Editors
Interests: machine learning; signal processing; intelligent communication; automatic control; data analysis
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; computer vision; data processing; biomechanics
2. Research Institute for Medical and Health Sciences, University of Sharjah, Sharjah, United Arab Emirates
3. Operational Research Center in Healthcare, Near East University, TRNC Mersin 10, Nicosia 99138, Cyprus
Interests: medical imaging; nuclear medicine; decision theory in healthcare; artificial intelligence in healthcare
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In today’s era, which is characterized by an exponential growth in the amount of data being generated from various sources like social media, universe observation, environmental sensing, sensor devices, businesses, and online transactions, this deluge of data, widely known as “Big Data”, poses unique challenges in terms of storage, processing, and analysis. Moreover, optimizing the processes of treating and analyzing such voluminous amounts of data is crucial for efficiently extracting valuable insights. This Special Iaims to bring together cutting-edge research on the latest trends in Big Danalysis, optimization, and algorithms, focusing on innovative methods, interdisciplinary approaches, and practical applications.
This Special Itargets researchers, engineers, data scientists, and professionals working in the fields of Big D, optimization, and algorithms. It aims to provide valuable insights into the latest trends, challenges, and solutions in these areas, thereby fostering knowledge sharing and collaboration across disciplines.
Prof. Dr. Hani Hamdan
Dr. Jinan Charafeddine
Dr. Dilber Uzun Ozsahin
Guest Editors
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Keywords
- novel architectures and frameworks for Big Data processing
- advanced algorithms for Big Data analysis
- optimization in Big Data processing and analysis
- artificial intelligence and machine learning for Big Data
- security, privacy, and ethics in Big Data management
- practical applications and use cases of Big Data analysis across different sectors (healthcare, finance, environment, telecommunications, energy, etc.)
- visualization techniques for Big Data
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