Analysis of traffic accident severity using Decision Rules via Decision Trees

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Traffic Accident Analysis Using Decision Trees and Neural Networks

The costs of fatalities and injuries due to traffic accident have a great impact on society. This paper presents our research to model the severity of injury resulting from traffic accidents using artificial neural networks and decision trees. We have applied them to an actual data set obtained from the National Automotive Sampling System (NASS) General Estimates System (GES). Experiment result...

متن کامل

Extracting decision rules from police accident reports through decision trees.

Given the current number of road accidents, the aim of many road safety analysts is to identify the main factors that contribute to crash severity. To pinpoint those factors, this paper shows an application that applies some of the methods most commonly used to build decision trees (DTs), which have not been applied to the road safety field before. An analysis of accidents on rural highways in ...

متن کامل

Decision Trees and Decision Rules

The logic-based decision trees and decision rules methodology performs well across a wide range of data mining problems. It also has the advantage that the results can be expressed in terms that the end-user can easily understand. Directory • Table of

متن کامل

Intuitive Representation of Decision Trees Using General Rules and Exceptions

Producing too many rules is a major problem with many data mining techniques. This paper argues that one of the key reasons for the large number of rules is that an inefficient knowledge representation scheme has been used. The current predominant representation of the discovered knowledge is the if-then rules. This representation often severely fragments the knowledge that exists in the data, ...

متن کامل

Data mining with decision trees and decision rules

This paper describes the use of decision tree and rule induction in data mining applications. Of methods for classi cation and regression that have been developed in the elds of pattern recognition, statistics, and machine learning, these are of particular interest for data mining since they utilize symbolic and interpretable representations. Symbolic solutions can provide a high degree of insi...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Expert Systems with Applications

سال: 2013

ISSN: 0957-4174

DOI: 10.1016/j.eswa.2013.05.027