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

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.

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Publication Details

Journal
European Conference on Knowledge Management
Published
2025-08-29
DOI
https://doi.org/10.34190/eckm.26.1.3751
Primary Topic
Rough Sets and Fuzzy Logic
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Ensar Gül, Orkun Eker
European Conference on Knowledge Management
Rough Sets and Fuzzy Logic
article

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

Ensar Gül, Orkun Eker
article en

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.

European Conference on Knowledge ManagementVol. 26(1)
Ford Otosan (Turkey) (TR), Maltepe University (TR)
Openalex Percentile: Top 76%
Rough Sets and Fuzzy Logic
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