@article{ref1,
title="On Pattern of Vessel Accident",
journal="Journal of Wuhan University of Technology (Transportation Science and Engineering)",
year="2005",
author="Mou, J and Zou, Zheng and Huang, Lan and Ji, Yuan",
volume="29",
number="3",
pages="489-492",
abstract="This paper describes the application of the techniques of Data Warehouse (DW) and Data Mining (DM) in developing a framework for the maritime safety study, which helps to discover the patterns of maritime accidents. In the paper, Star Schema, a new dimensional modeled schema, is proposed to build the data warehouse of maritime accidents/incidents. For case study, a data warehouse is designed for the vessel accidents/incidents occurred along the Yangtze River from 1995 to 2000. In the data warehouse, the quantitive characteristics of the severe collisions are extracted by data mining and the formula based on Generalized Linear Model (GLM) is derived to predict the probability of ship-bridge collisions.   <p>Language: en</p>",
language="en",
issn="1006-2823",
doi="",
url="http://dx.doi.org/"
}