• Handbook of research on engineering, business, and healthcare applications of data science and analytics[electronic resource] /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    杜威分類號: 001.4/33
    書名/作者: Handbook of research on engineering, business, and healthcare applications of data science and analytics/ Bhushan Patil and Manisha Vohra, editors.
    其他題名: Research on engineering, business, and healthcare applications of data science and analytics
    其他作者: Patil, Bhushan,
    出版者: Hershey, Pennsylvania : : IGI Global,, 2020.
    面頁冊數: 33 PDFs (583 pages)
    標題: Information resources - Data processing.
    標題: Chemistry, Analytic - Quantitative.
    標題: Big data.
    標題: Engineering - Data processing.
    標題: Business - Data processing.
    標題: Medical care - Data processing.
    ISBN: 9781799830542 (ebk.)
    ISBN: 9781799830535 (hbk.)
    書目註: Includes bibliographical references and index.
    內容註: 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 the potential use of data analytics in reducing cybercrime in India -- Chapter 24. Clustering by K-means method and K-medoids method: an application with statistical regions of Turkey -- Chapter 25. Descriptive data analytics on dinesafe data for food assessment and evaluation using R programming language: a case study on Toronto's dinesafe inspection and disclosure system.
    摘要、提要註: "This book explores the application of data science and analytics in the engineering, healthcare, and business sectors"--
    電子資源: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-3053-5
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