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dc.contributor.authorSoylemez, Ismet
dc.contributor.authorDogan, Ahmet
dc.contributor.authorOzcan, Ugur
dc.date.accessioned2021-10-16T07:38:13Z
dc.date.available2021-10-16T07:38:13Z
dc.date.issued2016en_US
dc.identifier.issn1303-099X
dc.identifier.urihttps //doi.org/10.21121/eab.2016OZEL24423
dc.identifier.urihttps://hdl.handle.net/20.500.12573/997
dc.description.abstractIn 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.language.isoengen_US
dc.publisherEGE UNIV, FAC ECONOMICS & ADMIN SCIENCESDEPT BUSINESS ADMIN, BORNOVA, 35100, TURKEYen_US
dc.relation.isversionof10.21121/eab.2016OZEL24423en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAccident dataen_US
dc.subjectAssociation rulesen_US
dc.subjectApriori algorithmen_US
dc.titleAssociation Rules on Traffic Accident: Case Of Ankaraen_US
dc.typereviewen_US
dc.contributor.departmentAGÜ, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.contributor.institutionauthorSoylemez, Ismet
dc.identifier.volumeVolume 16 Page 11-20 Special Issue SIen_US
dc.relation.journalEGE ACADEMIC REVIEWen_US
dc.relation.publicationcategoryDiğeren_US


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