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: Guide to Big Data Applications
  name:
    name part: Srinivasan, S.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVII, 565 p. 205 illus., 155 illus. in color. online resource.
  abstract: This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and business. This single resource features contributions from researchers around the world from a variety of fields, where they share their findings and experience. This book is intended to help spur further innovation in big data. The research is presented in a way that allows readers, regardless of their field of study, to learn from how applications have proven successful and how similar applications could be used in their own field. Contributions stem from researchers in fields such as physics, biology, energy, healthcare, and business. The contributors also discuss important topics such as fraud detection, privacy implications, legal perspectives, and ethical handling of big data.
  table of contents: Introduction -- Big Data Analytics -- Big Data and Social Media -- Use of Cloud Computing for Big Data in Business -- Economic Data Analysis Related to Developing Countries -- High Performance Computing and Big Data -- Big Data Applications in Physics -- Big Data Applications in Chemistry -- Big Data Applications in Mathematics -- Big Data Applications in Biology -- Big Data Applications in Engineering -- Big Data Applications in Meteorology -- Big Data Applications in Environmental Science -- Big Data Applications in Energy -- Security Applications for Big Data -- Big Data Applications in Network Traffic Analysis -- Big Data Applications in Supply Chain Logistics -- Big Data Applications in Healthcare -- Big Data Applications in Cancer Research -- Impact of Big Data in Marketing -- Use of Big Data in Banking -- Using Big Data for Fraud Detection in Accounting -- Using Big Data for Supply Chain Management -- Privacy Implications of Big Data -- Legal Perspectives of Big Data -- Ethical Handling of Big Data in Practical Uses -- Conclusion.
  note: edited by S. Srinivasan.
  subject:
    topic: Electrical engineering
  subject:
    topic: Computer organization
  subject:
    topic: Signal processing
  subject:
    topic: Image processing
  subject:
    topic: Speech processing systems
  subject:
    topic: Big data
  subject:
    topic: Health informatics
  subject:
    topic: Mass media
  subject:
    topic: Law
  subject:
    topic: Communications Engineering, Networks
  subject:
    topic: Computer Systems Organization and Communication Networks
  subject:
    topic: Signal, Image and Speech Processing
  subject:
    topic: Big Data/Analytics
  subject:
    topic: Health Informatics
  subject:
    topic: IT Law, Media Law, Intellectual Property
  classification: TK1-9971
  classification: 621.382
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Big Data, 26
  identifier: 9783319538174
  identifier: https://doi.org/10.1007/978-3-319-53817-4
  record info:
    record creation date: 170526
    record change date: 20191021191733.0
    record identifier: 978-3-319-53817-4