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: Big Data-driven World: Legislation Issues and Control Technologies
  name:
    name part: Kravets, Alla G.
    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: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: IX, 260 p. 29 illus., 7 illus. in color. online resource.
  abstract: This book examines the methodological foundations of the Big Data-driven world, formulates its concept within the frameworks of modern control methods and theories, and approaches the peculiarities of Control Technologies as a specific sphere of the Big Data-driven world, distinguished in the modern Digital Economy. The book studies the genesis of mathematical and information methods' transition from data analysis & processing to knowledge discovery and predictive analytics in the 21st century. In addition, it analyzes the conditions of development and implementation of Big Data analysis approaches in investigative activities and determines the role and meaning of global networks as platforms for the establishment of legislation and regulations in the Big Data-driven world. The book examines that world through the prism of Legislation Issues, substantiate the scientific and methodological approaches to studying modern mechanisms of terrorism and extremism counteraction in the conditions of new challenges of dissemination and accessibility of socially dangerous information. Systematization of successful experience of the Big Data solutions implementation in the different countries and analyze causal connections of the Digital Economy formation from the positions of new technological challenges is performed. The book's target audience includes scientists, students, PhD and Master students who conduct scientific research on the topic of Big Data not only in the field of IT& data science, but also in connection with legislative regulation aspects of the modern information society. It also includes practitioners and experts, as well as state authorities and representatives of international organizations interested in creating mechanisms for implementing Digital Economy projects in the Big Data-driven world.
  table of contents: Methodological Foundations of the Digital Economy -- Methodology and technology of control systems development -- Principles of mathematical models constructing based on the text or qualitative data of social systems -- On the possibility of an event prediction with limited initial statistical data -- Theoretical and Applied Aspects of Orthogonal Coding in Computer Networks Technologies -- Big Data in investigating and preventing crimes -- Data analysis of the socio-economic factors' influence on the state of crime -- The remote approach of distribution of objects withdrawn from circulation -- Implementation of the law enforcement function of the state in the field of countering crimes committed using the Internet -- Determination of the main directions of counteraction to e-commerce crimes, committed with the use of online stores.
  note: edited by Alla G. Kravets.
  subject:
    topic: Computational intelligence
  subject:
    topic: Big data
  subject:
    topic: Computational Intelligence
  subject:
    topic: Big Data
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Systems, Decision and Control, 181
  identifier: 9783030013585
  identifier: https://doi.org/10.1007/978-3-030-01358-5
  record info:
    record creation date: 181029
    record change date: 20191022072705.0
    record identifier: 978-3-030-01358-5