In Today’s Research Landscape The Role of Machine Learning, Data Mining and Artificial Intelligence of Computer Engineering in Multidisciplinary Studies

Özerk Yavuz
Bilkent University
https://orcid.org/0000-0002-1371-688X
Hasan Alpago
İstanbul Nişantaşı University
https://orcid.org/0000-0001-7695-2794

Synopsis

As Famous Kotler once suggested it is important to understand phenomena around us considering various touch points, factors, variables with a holistic mindset and holistically. In this paradigm basically every variable and discipline which can shed light for the understanding of such phenomena matters. This is not so much different in multidisciplinary studies which borrow several approaches, methods and procedures from other disciplines for exploratory and confirmatory understanding in research phenomena. During the last century importance of quantitative methods composed of machine learning, artificial intelligence, data mining and statistics gained momentum and importance. They became some of the most useful and beneficial research techniques preferred in medical science, marketing, sociology, anthropology, history, management and political science. In this book some of the supervised and unsupervised machine learning methodologies, artificial intelligence approaches in data mining have been applied in several multidisciplinary studies with the aim of providing some insights and ideas, for generalists, specialists, opinion leaders, opinion seekers, decision makers and society at large for the research findings discovered in these particular research domains. Hope you enjoy and like it. Thank you.

With my warmest and kindest regards,

Professor Özerk Yavuz

Eskişehir, 2023

How to cite this book

Yavuz, Ö. & Alpago, H. (2023). In Today’s Research Landscape The Role of Machine Learning, Data Mining and Artificial Intelligence of Computer Engineering in Multidisciplinary Studies. Özgür Publications. DOI: https://doi.org/10.58830/ozgur.pub228

License

Published

September 22, 2023

ISBN

PDF
978-975-447-714-6

DOI