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: Handbook of research on engineering, business, and healthcare applications of data science and analytics
  title info:
    title: Research on engineering, business, and healthcare applications of data science and analytics
  name:
    name part: Patil, Bhushan
    name part: 1993-
    role:
      role term: editor.
  name:
    name part: Vohra, Manisha
    name part: 1994-
    role:
      role term: editor.
  name:
    name part: IGI Global Online
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: pau
    date issued: 2021
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  table of contents: Chapter 1. Introduction to data science -- Chapter 2. A walk through the world of data analytics -- Chapter 3. A survey on tools for data analytics and data science -- Chapter 4. Tools, technologies, and methodologies to support data science: support technologies for data science -- Chapter 5. A survey on intelligence tools for data analytics -- Chapter 6. Data analysis in context-based statistical modeling in predictive analytics -- Chapter 7. Evaluating business performance using data envelopment analysis and grey relational analysis -- Chapter 8. Comparison of European option pricing models at multiple periods -- Chapter 9. Use of data analytics to increase the efficiency of last mile logistics for ecommerce deliveries -- Chapter 10. Review of big data applications in finance and economics -- Chapter 11. Role of data science and data analytics in forensic accounting and fraud detection -- Chapter 12. Machine learning and its application in monitoring diabetes mellitus -- Chapter 13. Opportunistic edge computing architecture for smart healthcare systems -- Chapter 14. Risk analysis of diabetic patient using map-reduce and machine learning algorithm -- Chapter 15. Integrated big data e-healthcare solutions to a fragmented health information system in Namibia -- Chapter 16. Technology in healthcare: vision of smart hospitals -- Chapter 17. Gait abnormality detection using deep convolution network -- Chapter 18. Exploration of computational intelligence insights and data analytics to combat COVID-19 -- Chapter 19. Computer-aided diagnosis of knee osteoarthritis from radiographic images using random forest classifier -- Chapter 20. Healthcare conversational chatbot for medical diagnosis -- Chapter 21. A literature review on thyroid hormonal problems in women using data science and analytics: healthcare applications -- Chapter 22. Influence of some sociodemographic factors on causes of death among South African youth -- Chapter 23. Information technology act 2000 and t…
  note: Bhushan Patil and Manisha Vohra [editors].
  note: Electronic resource.
  note: Includes bibliographical references and index.
  subject:
    topic: Big data
  subject:
    topic: Business
    topic: Data processing
  subject:
    topic: Analytical chemistry
    topic: Quantitative
  subject:
    topic: Engineering
    topic: Data processing
  subject:
    topic: Information resources
    topic: Data processing
  subject:
    topic: Medical care
    topic: Data processing
  classification: ZA3075 .H348 2021
  classification: 001.4/33
  related item:
    title info:
      title: Handbook of research on engineering, business, and healthcare applications of data science and analytics
    origin info:
      publisher: Hershey, PA : Engineering Science Reference, an imprint of IGI Global, [2020]
    identifier: (DLC) 2019047050
  related item:
    title info:
      title: Advances in data mining and database management (ADMDM) book series
  identifier: 1799830543
  identifier: 9781799830542
  identifier: 9781799830535
  identifier: 2019047051
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: NhCcYBP
    record creation date: 191011
    record change date: 20210728140530.0
    record identifier: in00004278534