Discussion on "Experiences with big data: Accounts from a data scientist's perspective"

TESTİK M. C.

QUALITY ENGINEERING, vol.32, no.4, pp.553-555, 2020 (SCI-Expanded) identifier

  • Publication Type: Article / Editorial Material
  • Volume: 32 Issue: 4
  • Publication Date: 2020
  • Doi Number: 10.1080/08982112.2019.1686642
  • Journal Name: QUALITY ENGINEERING
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, ABI/INFORM, Business Source Elite, Business Source Premier, Compendex, Food Science & Technology Abstracts, INSPEC
  • Page Numbers: pp.553-555
  • Hacettepe University Affiliated: Yes

Abstract

I congratulate the authors for their interesting and insightful discussion on big data in production environments. Although problems with big data are trendy research topics, there are many practical opportunities and challenges for its use by quality practitioners for data-driven activities such as assurance, diagnosis, monitoring, and control. I appreciate the opportunity to discuss and provide my insights on the topic. In the following, I confine my assessments to data acquisition and preprocessing, and statistical methods for quality engineering.