Aims and Scope
Journal of Big Data Research (JBR) is an open-access, peer-reviewed journal dedicated to advancing the science, technology, and applications of big data. It serves as a global platform for researchers, practitioners, and decision-makers to share innovative research, methodologies, and real-world applications of big data technologies.
Scope and Focus Areas:
- Data mining, machine learning, and artificial intelligence applications
- Predictive modeling, pattern recognition, and deep learning for big data
- Real-time data processing and decision-making systems
- Cloud computing, distributed systems, and scalable storage solutions
- High-performance computing, data warehousing, and database management
- Architectures for massively parallel processing and distributed file systems
- Big data in business, finance, healthcare, public administration, and engineering
- Smart cities, IoT, cybersecurity, and digital transformation
- Data-driven innovations in medical and life sciences
- Data privacy, security, and governance in big data ecosystems
- Responsible AI and ethical implications of large-scale data collection
- Bias mitigation and fairness in algorithmic decision-making
Submitting your manuscript is simple:
- Method 1: Register as an author, enter manuscript details (title, article type, abstract), and upload on Manuscriptzone.
- Method 2: Send the submission files to the Editorial Office via email.
- Method 3: Use the online submission page to upload your files.
A few keywords were outlined, which define the scope of the journal. If you have any queries, do contact us at [email protected]
- Big data
- Health care
- E-Commerce
- Visualization and design
- Data capture and storage
- Databases
- Social networking
- Parallel processing
- Big data analytics
- Machine learning algorithms
- Geoscience
- Data protection
- Data acquisition
- New technologies
- Big data analysis
- Data mining tools
- Big data technologies
- Deep learning algorithms
- Physics and Astronomy
- Big data analytics in healthcare
- Big data healthcare
- Big data as a service
- Big data research
- Big data ethics
- Big data industry
- Big data health
- Data-intensive computing
- Big data analytics in healthcare promise and potential
- Big data cancer
- Medical big data
- Environment and Climate
- Big data industry standards
- Big data medicine
- Mobility and big data
- Big data analytics in small business enterprises (smes)
- Big data search architectures scalability and efficiency
- Data visualization
- Data acquisition integration cleaning and best practices
- Distributed and peer-to-peer search
- Energy-efficient computing for big data
- Multimedia and multi-structured data- big variety data
- Social web search and mining
- Visualization analytics for big data
- Big Data And Analytics In Healthcare
- Big Data Analytics In Transportation
- Artificial Intelligence And Big Data
