Analysis of Traffic Accident Patterns Using Association Rule Mining
This study analyzed the levels of minor, moderate, and severe traffic accidents in the Palembang Police area from 2015 to 2020 using association rule mining and the apriori algorithm. The study established valuable insights into accident trends and contributing factors by leveraging traffic accid...
Saved in:
Main Authors: | Yudy, Pranata, Tri Basuki, Kurniawan, Edi Surya, Negara, Ahmad Haidar, Mirza |
---|---|
Format: | Article |
Language: | English English |
Published: |
INTI International University
2024
|
Subjects: | |
Online Access: | http://eprints.intimal.edu.my/2074/1/jods2024_63.pdf http://eprints.intimal.edu.my/2074/2/615 http://eprints.intimal.edu.my/2074/ http://ipublishing.intimal.edu.my/jods.html |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Utilizing Support Vector Machines to Recognize Pattern Numbers on Sheet C1 Ballots
by: Agustian, David, et al.
Published: (2022) -
Analysis of Feature Selection Methods for Sentiment Analysis Concerning Covid-19 Vaccination Issues
by: Muhammad, Fajar, et al.
Published: (2023) -
Features Selection in the Proposed Draft Sheet C1 for General Elections in
Indonesia
by: Erin, Efriansyah, et al.
Published: (2023) -
Rainfall Prediction in Palembang City Using the GRU and LSTM Methods
by: Surta, Wijaya, et al.
Published: (2023) -
Load Optimization with Shortest Distance Approach
by: Yusria, Lenitasari, et al.
Published: (2022)