Application of Knowledge Discovery in Databases to Determine Car Sales Trends in Türkiye

Authors

DOI:

https://doi.org/10.34190/eckm.26.1.3751

Keywords:

Data Mining, Knowledge Discovery, Vehicle Sales Trends

Abstract

In today's world, organizations of all sizes, including companies, institutions, and governments, manage vast amounts of data. Organizations that effectively harness data and extract valuable insights can achieve their strategic objectives. This study exemplifies the application of data mining techniques by analyzing the trend of vehicle sales. It highlights the significance of data mining in the automotive sector and demonstrates how accurate and meaningful results can be produced.

Author Biographies

Orkun Eker, Ford Otosan

Orkun Eker received his B.Sc. in Computer Education from Gazi University and completed his M.Sc. in Computer Engineering at Maltepe University in 2024. He is currently  working as a senior software test specialist at a software consultancy company. He has professional experience in database design, network systems, and software solutions within the automotive industry.

Ensar Gul, Maltepe University

Prof. Ensar Gul is a professor of Computer Engineering at Maltepe University, Türkiye. He received his PhD from the University of Sussex, UK, in 1989. In addition to his academic work, he has extensive industrial experience, particularly in developing telecommunication software. His research interests include applications of neural networks, software processes, and target tracking.

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Published

2025-08-29

Issue

Vol. 26 No. 1 (2025): Proceedings of the 26th European Conference on Knowledge Management VOL 1

Section

Academic Papers

License

Copyright (c) 2025 European Conference on Knowledge Management

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.