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: Data science in engineering and management
    sub title: applications, new developments, and future trends
  name:
    name part: Polkowski, Zdzislaw
    role:
      role term: editor.
  name:
    name part: Mishra, Sambit Kumar
    role:
      role term: editor.
  name:
    name part: Vasilev, Julian
    role:
      role term: editor.
  type of resource: text
  genre: Databases.
  origin info:
    place:
      place term: flu
    date issued: 2022
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (1 volume) : illustrations (black and white)
  abstract: This book brings insight into data science and offers applications and implementation strategies. It includes current developments and future directions and covers the concept of data science along with its origins. It focuses on the mechanisms of extracting data along with classifications, architectural concepts, and business intelligence with predictive analysis. Data Science in Engineering and Management: Applications, New Developments, and Future Trends introduces the concept of data science, its use, and its origins, as well as presenting recent trends, highlighting future developments; discussing problems and offering solutions. It provides an overview of applications on data linked to engineering and management perspectives and also covers how data scientists, analysts, and program managers who are interested in productivity and improving their business can do so by incorporating a data science workflow effectively. This book is useful to researchers involved in data science and can be a reference for future research. It is also suitable as supporting material for undergraduate and graduate-level courses in related engineering disciplines.
  note: edited by Zdzislaw Polkowski, Sambit Kumar Mishra, Julian Vasilev.
  subject:
    topic: Engineering
    topic: Databases
  subject:
    topic: Management
    topic: Databases
  subject:
    topic: Database management
  subject:
    topic: Database searching
  subject:
    topic: Database management
  subject:
    topic: Database searching
  subject:
    topic: Engineering
  subject:
    topic: Management
  classification: TA345
  classification: 620.00285574
  related item:
    title info:
      title: Data science in engineering and management
    origin info:
      publisher: Boca Raton : CRC Press, 2022
    identifier: (OCoLC)1285685410
  identifier: 9781000520842
  identifier: 1000520846
  identifier: 9781032106250
  identifier: 1032106255
  identifier: 9781000520842 O'Reilly Media
  identifier: https://proxy.library.tamu.edu/login
  record info:
    record content source: N$T
    record creation date: 220317
    record change date: 20260129162357.7
    record identifier: in00004670689
    language of cataloging:
      language term: eng