@inproceedings{bab6c23de9d5455c8eb4e77c56308007,
title = "A Cybernetics Perspective on Data Science: Macro and Micro Views",
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.",
keywords = "Artificial Neural Networks, CRISP-DM Life Cycle, Cybernetics, Data Science, Machine Learning",
author = "Ku, {Cyril S.} and Laracy, {Joseph R.} and Marlowe, {Thomas J.} and Choi, {Jin A.}",
note = "Publisher Copyright: Copyright 2022. {\textcopyright} by the International Institute of Informatics and Systemics. All rights reserved.; 26th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2022 ; Conference date: 12-07-2022 Through 15-07-2022",
year = "2022",
doi = "10.54808/WMSCI2022.01.47",
language = "English",
series = "Proceedings of World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI",
publisher = "International Institute of Informatics and Cybernetics",
pages = "47--52",
editor = "Callaos, {Nagib C.} and Natalja Lace and Belkis Sanchez and Michael Savoie",
booktitle = "WMSCI 2022 - 26th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings",
}