A Cybernetics Perspective on Data Science: Macro and Micro Views
Document Type
Conference Proceeding
Publication Date
1-1-2022
Journal / Book Title
Proceedings of World Multi Conference on Systemics Cybernetics and Informatics Wmsci
Abstract
In this paper, data science is considered from a cybernetic perspective in two viewpoints. After a brief review of cybernetics, a partial conceptual view of a data science framework is provided. Several layers are identified, working from the software engineering life cycle macro perspective of a data analysis system, through production of a machine learning model to mine knowledge and predict business and product trends, to the micro perspective of a specific analysis, in this case using an artificial neural network. How the layers fit, individually and collectively, into a cybernetic system, identifying feedback loops and their interactions are described. Finally, the advantages and disadvantages of understanding the modern data science life cycle from the cybernetics perspective, and insights to be gained from this perspective are discussed.
DOI
10.54808/WMSCI2022.01.47
MSU Digital Commons Citation
Ku, Cyril S.; Laracy, Joseph R.; Marlowe, Thomas J.; and Choi, Jin-A, "A Cybernetics Perspective on Data Science: Macro and Micro Views" (2022). College of Communication and Media Scholarship and Creative Works. 77.
https://digitalcommons.montclair.edu/scom-facpubs/77