rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Journal of Big Data
  title info:
    title: J Big Data
  name:
    name part: Furht, Borko.
    role:
      role term: editor.
  name:
    name part: Khoshgoftaar, Taghi M.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: periodical
  origin info:
    place:
      place term: gw
    date issued: ||||
    issuance: continuing
  language:
    language term: EN
  physical description:
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: online resource.
  abstract: 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.
  note: edited by Borko Furht, Taghi M. Khoshgoftaar.
  subject:
    topic: Computer science
  subject:
    topic: Database management
  subject:
    topic: Data mining
  subject:
    topic: Information storage and retrieval
  subject:
    topic: Computer science
    topic: Mathematics
  subject:
    topic: Computer mathematics
  subject:
    topic: Electrical engineering
  subject:
    topic: Computer Science
  subject:
    topic: Database Management
  subject:
    topic: Information Storage and Retrieval
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: Computational Science and Engineering
  subject:
    topic: Mathematical Applications in Computer Science
  subject:
    topic: Communications Engineering, Networks
  identifier: 2196-1115
  identifier: http://link.springer.com/journal/40537
  record info:
    record creation date: 150723
    record change date: 20180511105616.0
    record identifier: 2196-1115