Survey Paper on Analyze and Predict the Nature of Road Traffic Accidents using Data Mining Techniques in Maharashtra, India
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2017 by IJETT Journal|
|Year of Publication : 2017|
|Authors : Baye Atnafu, Gagandeep Kaur
|DOI : 10.14445/22315381/IJETT-V53P206|
Baye Atnafu, Gagandeep Kaur "Survey Paper on Analyze and Predict the Nature of Road Traffic Accidents using Data Mining Techniques in Maharashtra, India", International Journal of Engineering Trends and Technology (IJETT), V53(1),23-31 November 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Traffic accidents are the main cause of death as well as serious injuries in the world. India is among the emerging countries where the rate at which traffic accident occurs is more than the critical limit. Due to this reason difficult to know the nature of road traffic accidents. As a human being, we all want to avoid traffic accidents and stay safe. In order to stay safe, careful analysis of roadway traffic accident data is important to identify the nature of traffic accident that causesfatal and series injuries. Analysis of road traffic accidents is significantto expose the association between the various types of factors thatinfluencethe nature of road traffic accidents. For this purpose, there are a number of classification and association rule mining algorithms available to analyze, detect and predict the road accident historical data and to obtained hidden patterns from huge data. From these, this survey paper discusses the algorithms and data mining tools that areproved better in theprevious studies.
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data mining, random tree, J48, Naive Baye’s, association rule mining, road accidents.