Prediction Control Charts: A New and Flexible Artificial Intelligence-Based Statistical Process Control Approach-Reference-Cited by-同舟云学术

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Prediction Control Charts: A New and Flexible Artificial Intelligence-Based Statistical Process Control Approach

Published:2022-08-12 Issue: Volume: Page:
ISSN:2198-5804
Container-title:Annals of Data Science
language:en
Short-container-title:Ann. Data. Sci.

Author:

Boaventura Laion L.,Fiaccone Rosemeire L.,Ferreira Paulo H.^ORCID

Funder

Fundação de Amparo á Pesquisa do Estado da Bahia

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Statistics, Probability and Uncertainty,Computer Science Applications,Business, Management and Accounting (miscellaneous)

Link

https://link.springer.com/content/pdf/10.1007/s40745-022-00441-5.pdf

Reference31 articles.

1. Shi Y (2022) Advances in big data analytics: theory, algorithms and practices. Springer, Singapore. https://doi.org/10.1007/978-981-16-3607-3

2. Tien JM (2017) Internet of things, real-time decision making, and artificial intelligence. Ann Data Sci 4(2):149–178. https://doi.org/10.1007/s40745-017-0112-5

3. Shi Y, Tian Y, Kou G, Peng Y, Li J (2011) Optimization based data mining: theory and applications. Springer, London. https://doi.org/10.1007/978-0-85729-504-0

4. Olson DL, Shi Y (2007) Introduction to business data mining. McGraw-Hill/Irwin, New York

5. Mandel BJ (1969) The regression control chart. J Qual Technol 1(1):1–9. https://doi.org/10.1080/00224065.1969.11980341

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