Association Rules on Traffic Accident: Case of Ankara
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Date
2016
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Ege Univ, Fac Economics & Admin Sciences
Open Access Color
GOLD
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
In this study, association rules analysis of the data mining techniques are used for data of traffic accidents in 2010 and some rules are obtained. With this rules, what is the possibility of accident which resulted anybody injured for "different weather conditions (snowy, rainy etc.)", "where the accidents occurred (street, road etc.)" and "way situations (separated road or not)". Different algorithms are used to analyze the association rules. Apriori algorithm is selected for this study and SPSS Clementine 12.0 is used for this algorithm. Firstly, frequency of items are found. Then, items are grouped. In this study, data preprocessing is done and missing values are filled or rejected. In the second phase, outliers are rejected and data type is converted type of 1-0 (binary). In the third phase, Apriori algorithm is applied and results are evaluated.
Description
Keywords
Apriori Algorithm, Association Rules, Accident Data
Fields of Science
0502 economics and business, 05 social sciences, 0211 other engineering and technologies, 02 engineering and technology
Citation
WoS Q
Q4
Scopus Q
N/A

OpenCitations Citation Count
7
Source
Ege Academic Review
Volume
16
Issue
Start Page
11
End Page
20
Collections
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Captures
Mendeley Readers : 7
Web of Science™ Citations
3
checked on Apr 14, 2026
Page Views
5
checked on Apr 14, 2026
Downloads
1
checked on Apr 14, 2026
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