Journal of Big Data [electronic resource] / edited by Borko Furht, Taghi M. Khoshgoftaar.
Material type:
Continuing resourcePublisher: Cham : Springer International Publishing : Imprint: Springer. Description: online resourceISSN: - 2196-1115
- Database management
- Data mining
- Information storage and retrieval
- Computer science -- Mathematics
- Computer mathematics
- Electrical engineering
- Database Management
- Information Storage and Retrieval
- Data Mining and Knowledge Discovery
- Computational Science and Engineering
- Mathematical Applications in Computer Science
- Communications Engineering, Networks
The Journal of Big Data publishes high-quality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to data-intensive computing and all applications of big data research. The journal examines the challenges facing big data today and going forward including, but not limited to: data capture and storage; search, sharing, and analytics; big data technologies; data visualization; architectures for massively parallel processing; data mining tools and techniques; machine learning algorithms for big data; cloud computing platforms; distributed file systems and databases; and scalable storage systems. Academic researchers and practitioners will find the Journal of Big Data to be a seminal source of innovative material.
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