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Issue 5(1), October 2010 -- Paper Abstracts
Girard  (p. 9-22)
Cooper (p. 23-32)
Kunz-Osborne (p. 33-41)
Coulmas-Law (p.42-46)
Stasio (p. 47-56)
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JOURNAL OF APPLIED BUSINESS AND ECONOMICS


Towards a New Approach for Building Trust and Confidence in Machine Learning Data and
Models: Based on an Integration of Artificial Intelligence and Blockchain (Part 3)


Author(s): Hammou Fadili

Citation: Hammou Fadili, (2020) "Towards a New Approach for Building Trust and Confidence in Machine Learning Data and Models: Based on an Integration of Artificial Intelligence and Blockchain (Part 3)," Journal of Applied Business and Economics, Vol. 22, Iss.11,  pp. 119-130

Article Type: Research paper

Publisher: North American Business Press

​Abstract:

Sentiments and opinions trends analysis and study are two important disciplines of Big Data exploitation. In our case related to Business Intelligence (BI), they make it possible to detect and extract relevant information from raw unstructured textual data, which we call: Textual Business Intelligence (TBI). It is in this context that we propose a new approach allowing to build trust and confidence in machine learning data and therefore in models: based on an integration and a convergence of artificial intelligence and Blockchain. This third part of the article will be dedicated to explaining our general process and to the experimentations.