Maritime incidents are complex in nature and result from various factors. Although
researchers have explored the factors influencing maritime safety, it is unclear how the …

This study aims to discover hidden patterns and potential relationships in risk factors in
freight truck crash data. Existing studies mainly used parametric models to analyze the …

In this era of a digital revolution, the use of the Internet for information storage, access, and
dissemination has increased astronomically. Also, the advent of the Internet of Things (IoT) …

Recently due to the explosion in the data field, there is a great interest in the data science
areas such as big data, artificial intelligence, data mining, and machine learning. Knowledge …

In the year 2001, one of the authors of this editorial wrote an article about support versus
confidence in the data mining technique, association rules. This article was presented at a …

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 …

With the development of IoT technologies in the past few years, a wide range of smart
devices are deployed in a variety of environments aiming to improve the quality of human …

Semantic relation composition is a generalized approach for finding conjunctive relation
paths in a knowledge base (KB). In semantic web, direct and inverse relationships between …

The last few years have witnessed some remarkable success of the state-of-the art
unsupervised knowledge extraction systems like NELL and REVERB. These systems are …

The investigation of failure data typically involves manual interpretation of free text
maintenance system records. Even if failure classification codes exist within an …