Association Rules on Traffic Accident: Case of Ankara

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Date

2016

Journal Title

Journal ISSN

Volume Title

Publisher

Ege Univ, Fac Economics & Admin Sciences

Open Access Color

GOLD

Green Open Access

No

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Average
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Average
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Top 10%

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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
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OpenCitations Citation Count
7

Source

Ege Academic Review

Volume

16

Issue

Start Page

11

End Page

20
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Mendeley Readers : 7

Web of Science™ Citations

3

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Page Views

5

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Downloads

1

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