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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.

Big data --- Data mining --- Cyberinfrastructure --- Data Mining --- Access to Information --- Information Dissemination --- Information Storage and Retrieval --- Big data. --- Cyberinfrastructure. --- Data mining. --- Computer Science

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Documentation and information --- Information science --- Information technology --- Information science. --- Information technology. --- IT (Information technology) --- Information Science. --- Information Services. --- Library Science. --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Communication --- Information literacy --- Library science --- Information Networks --- Information Specialists --- Services, Information --- Information Network --- Information Service --- Information Specialist --- Network, Information --- Networks, Information --- Service, Information --- Specialist, Information --- Specialists, Information --- Research --- Information Dissemination --- Information Sciences --- Science, Information --- Sciences, Information --- Librarianship --- Library Sciences --- Science, Library --- Sciences, Library --- Bibliography - General

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.

Big data --- Data mining --- Cyberinfrastructure --- Big data. --- Cyberinfrastructure. --- Data mining. --- Data Mining --- Access to Information --- Information Dissemination --- Information Storage and Retrieval --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Cyber-based information systems --- Cyber-infrastructure --- Electronic data processing --- Information technology --- Computer networks --- Computer systems --- Distributed databases --- High performance computing --- Data sets, Large --- Large data sets --- Data sets --- Data Files --- Data Linkage --- Data Retrieval --- Data Sources --- Data Storage --- Data Storage and Retrieval --- Information Extraction --- Information Storage --- Machine-Readable Data Files --- Information Retrieval --- Data File --- Data File, Machine-Readable --- Data Files, Machine-Readable --- Data Source --- Extraction, Information --- Files, Machine-Readable Data --- Information Extractions --- Machine Readable Data Files --- Machine-Readable Data File --- Retrieval, Data --- Storage, Data --- Data Sharing --- Information Distribution --- Information Sharing --- Data Sharings --- Dissemination, Information --- Distribution, Information --- Information Sharings --- Sharing, Data --- Sharing, Information --- Sharings, Data --- Sharings, Information --- Diffusion of Innovation --- Information Services --- FOIA Requests --- Freedom of Information Act Requests --- Open Access to Information --- Public Access to Information --- FOIA Request --- Information, Access to --- Request, FOIA --- Requests, FOIA --- Truth Disclosure --- Text Mining --- Mining, Text --- Data Science --- Big Data --- Distributed processing --- data analytics --- data-intensive computing --- data mining --- machine learning algorithms --- distributed systems --- Computer. Automation