This paper employs deep learning in detecting the traffic accident from social media data.
First, we thoroughly investigate the 1-year over 3 million tweet contents in two metropolitan …

Artifacts, such as software systems, pervade organizations and society. In the field of
information systems (IS) they form the core of research. The evaluation of IS artifacts thus …

Background Mathematical modelling of infectious diseases transmitted by the respiratory or
close-contact route (eg, pandemic influenza) is increasingly being used to determine the …

Tree ensembles such as random forests and boosted trees are accurate but difficult to
understand. In this work, we provide the interpretable trees (inTrees) framework that extracts …

With the continuous growth of international trade and the number of ships, the pressure on
marine safety is increasing. To strengthen the efficiency and pertinence of accident …

R and Data Mining introduces researchers, post-graduate students, and analysts to data
mining using R, a free software environment for statistical computing and graphics. The book …

Early prediction systems have already been applied successfully in various educational
contexts. In this study, we investigated develo** an early prediction system in the context …

Given the recent advancements in autonomous driving functions, one of the main
challenges is safe and efficient operation in complex traffic situations such as road junctions …

This paper describes the ecosystem of R add-on packages developed around the
infrastructure provided by the package arules. The packages provide comprehensive …

The PMML package exports a variety of predictive and descriptive models from R to the
Predictive Model Markup Language (Data Mining Group, 2008). PMML is an XML-based …