IJSDR
IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: A Machine Learning Approach for Prediction of Fatal Traffic Accidents
Authors Name: Mrs. Soumya Dath G , Bhavana M B , Sahana R , Sharmila J
Unique Id: IJSDR2007001
Published In: Volume 5 Issue 7, July-2020
Abstract: The objective of this paper is to provide real time application which is an efficient tool for accident prediction. The system identifies relationships and possible hidden links between various factors that describe road accidents with fatal consequences. Using Association learning technique, the Eclat algorithm predicts the frequently occurring accidents in future and the relationship between different traffic accidents using the traffic datasets.
Keywords: Machine Learning, Association Learning Technique, Eclat algorithm
Cite Article: "A Machine Learning Approach for Prediction of Fatal Traffic Accidents", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 7, page no.1 - 5, July-2020, Available :http://www.ijsdr.org/papers/IJSDR2007001.pdf
Downloads: 000336256
Publication Details: Published Paper ID: IJSDR2007001
Registration ID:192058
Published In: Volume 5 Issue 7, July-2020
DOI (Digital Object Identifier):
Page No: 1 - 5
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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