Journal of Big Data and Computing (JBDC)
Journal of Big Data and Computing (JBDC) to impart a platform for publishing results and research with a strong empirical component, to create a bridge for significant gap between research and practice by promoting the publication of original, novel, industry-relevant research, to solicit original and unpublished research papers, based on theoretical or experimental works.
Aims & Scope
Journal of Big Data and Computing (JBDC) to impart a platform for publishing results and research with a strong empirical component, to create a bridge for significant gap between research and practice by promoting the publication of original, novel, industry-relevant research, to solicit original and unpublished research papers, based on theoretical or experimental works.
Aims
- To provide a dedicated platform for researchers, practitioners, and industry professionals to publish original, empirical research results with strong practical relevance.
- To bridge the significant gap between academic research and real-world industry practice by promoting the publication of original, novel, and industry-relevant studies.
- To solicit and publish high-quality, original, and unpublished research papers rooted in both theoretical and experimental work in the fields of big data and computing.
- To facilitate the dissemination and application of cutting-edge research findings, fostering the translation of theoretical advances into practical solutions for industry challenges.
Scope
The journal covers a wide range of topics related to big data and computing, including but not limited to:
Big Data
- Data mining and knowledge discovery
- Data warehousing and big data infrastructure
- Data analytics and predictive modeling
- Big data management and processing frameworks
- Scalable data storage and distributed computing
- Data privacy, security, and ethical considerations in big data
Computing
- Machine learning and deep learning algorithms
- Artificial intelligence and its industrial applications
- Cloud computing and edge computing paradigms
- High-performance computing and parallel processing
- Software engineering for data-intensive systems
- Blockchain and distributed ledger technologies for data systems
JBDC welcomes original research that explores the intersection of big data and computing with strong empirical components, as well as theoretical or experimental works that bridge the gap between academic research and real-world industry practice. All manuscripts undergo rigorous peer review to ensure originality, novelty, and practical relevance to industry challenges.