TY  - JOUR
PY  - 2017//
TI  - An improved approach for association rule mining using a multi-criteria decision support system: a case study in road safety
JO  - European transport research review
A1  - Ait-Mlouk, Addi
A1  - Gharnati, Fatima
A1  - Agouti, Tarik
SP  - e40
EP  - e40
VL  - 9
IS  - 3
N2  - PURPOSERoad accidents have come to be considered a major public health problem worldwide. The aim of many studies is therefore to identify the main factors contributing to the severity of crashes.<br><br>METHODSThis paper examines a large-scale data mining technique known as association rule mining, which can predict future accidents in advance and allow drivers to avoid the dangers. However, this technique produces a very large number of decision rules, preventing decision makers from making their own selection of the most relevant rules. In this context, the integration of a multi-criteria decision analysis approach would be particularly useful for decision makers affected by the redundancy of the extracted rules.<br><br>CONCLUSIONAn analysis of road accidents in the province of Marrakech (Morocco) between 2004 and 2014 shows that the proposed approach serves this purpose; it may provide meaningful information that could help in developing suitable prevention policies to improve road safety.<p />  <p>Language: en</p>
LA  - en
SN  - 1867-0717
UR  - http://dx.doi.org/10.1007/s12544-017-0257-5
ID  - ref1
ER  -