Association Rules on Traffic Accident: Case Of Ankara

dc.contributor.author Soylemez, Ismet
dc.contributor.author Dogan, Ahmet
dc.contributor.author Ozcan, Ugur
dc.contributor.department AGÜ, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümü en_US
dc.contributor.institutionauthor Soylemez, Ismet
dc.date.accessioned 2021-10-16T07:38:13Z
dc.date.available 2021-10-16T07:38:13Z
dc.date.issued 2016 en_US
dc.description.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. en_US
dc.identifier.issn 1303-099X
dc.identifier.uri https //doi.org/10.21121/eab.2016OZEL24423
dc.identifier.uri https://hdl.handle.net/20.500.12573/997
dc.identifier.volume Volume 16 Page 11-20 Special Issue SI en_US
dc.language.iso eng en_US
dc.publisher EGE UNIV, FAC ECONOMICS & ADMIN SCIENCESDEPT BUSINESS ADMIN, BORNOVA, 35100, TURKEY en_US
dc.relation.isversionof 10.21121/eab.2016OZEL24423 en_US
dc.relation.journal EGE ACADEMIC REVIEW en_US
dc.relation.publicationcategory Diğer en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Accident data en_US
dc.subject Association rules en_US
dc.subject Apriori algorithm en_US
dc.title Association Rules on Traffic Accident: Case Of Ankara en_US
dc.type review en_US

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