Survey of state-of-the-art mixed data clustering algorithms
Mixed data comprises both numeric and categorical features, and mixed datasets occur
frequently in many domains, such as health, finance, and marketing. Clustering is often …
frequently in many domains, such as health, finance, and marketing. Clustering is often …
Accident analysis for construction safety using latent class clustering and artificial neural networks
BU Ayhan, OB Tokdemir - Journal of Construction Engineering and …, 2020 - ascelibrary.org
Despite many improvements in safety management, the construction industry still has the
highest potential for occupational injuries including High Severe (HS) work events, which …
highest potential for occupational injuries including High Severe (HS) work events, which …
Analysis of traffic accidents on rural highways using Latent Class Clustering and Bayesian Networks
One of the principal objectives of traffic accident analyses is to identify key factors that affect
the severity of an accident. However, with the presence of heterogeneity in the raw data …
the severity of an accident. However, with the presence of heterogeneity in the raw data …
[HTML][HTML] Manipulating measurement scales in medical statistical analysis and data mining: A review of methodologies
Background: selecting the correct statistical test and data mining method depends highly on
the measurement scale of data, type of variables, and purpose of the analysis. Different …
the measurement scale of data, type of variables, and purpose of the analysis. Different …
Analysis of the risk factors affecting the severity of traffic accidents on Spanish crosstown roads: The driver's perspective
Globally, road traffic accidents are an important public health concern which needs to be
tackled. A multidisciplinary approach is required to understand what causes them and to …
tackled. A multidisciplinary approach is required to understand what causes them and to …
Traffic accident segmentation by means of latent class clustering
Traffic accident data are often heterogeneous, which can cause certain relationships to
remain hidden. Therefore, traffic accident analysis is often performed on a small subset of …
remain hidden. Therefore, traffic accident analysis is often performed on a small subset of …
Risk factors associated with truck-involved fatal crash severity: Analyzing their impact for different groups of truck drivers
Introduction: Fatal crashes that include at least one fatality of an occupant within 30 days of
the crash cause large numbers of injured persons and property losses, especially when a …
the crash cause large numbers of injured persons and property losses, especially when a …
Safety assessment in megaprojects using artificial intelligence
BU Ayhan, OB Tokdemir - Safety Science, 2019 - Elsevier
Record keeping systems are gaining more importance in addressing safety problems in
megaprojects. The information recorded is being converted into large data domains since it …
megaprojects. The information recorded is being converted into large data domains since it …
Mixture-model cluster analysis using information theoretical criteria
JRS Fonseca, MGMS Cardoso - Intelligent Data Analysis, 2007 - content.iospress.com
The estimation of mixture models has been proposed for quite some time as an approach for
cluster analysis. Several variants of the Expectation-Maximization algorithm are currently …
cluster analysis. Several variants of the Expectation-Maximization algorithm are currently …
Is there a link between poverty and food security?
R Mahadevan, V Hoang - Social Indicators Research, 2016 - Springer
This paper addresses the gap in economic theory underlying the multidimensional concept
of food security and observed data by deriving a composite food security index using the …
of food security and observed data by deriving a composite food security index using the …