Background The COVID-19 pandemic can be recognized as a traumatic event that led to
stressors, resulting in trauma or distress among the general population. Social support is …

OCCUPATIONAL APPLICATIONS A long-standing debate has surrounded the factors that
lead to drone mishaps. The results of our study indicate that, from the perspective of drone …

This study proposed a data mining framework for predicting sequential patterns of
maintenance activities. The framework consisted of data collection, prediction of …

Purpose This study aims to present an innovative sandbox platform that implements a
decision support system (DSS) to assess the sustainable development goals (SDGs) …

Geo referenced time series is a cornerstone in spatiotemporal data analysis, revealing
invaluable patterns that drive socio-economic development. Previous studies have modeled …

Organizations assume a key role in the goal of achieving sustainable development and are
influential elements on the path to sustainability. Allied with competitiveness, today, there is …

Discovering valuable knowledge from massive time series data is challenging due to
sophisticated temporal relationships and inherent uncertainties. This paper proposes a new …

Knowledge is a contribution factor leading to more effective and efficient construction safety
management. Metro construction practitioners always find it difficult to determine what …

Data warehousing and data mining are crucial aspects of modern businesses. Data mining
is the process of identifying patterns in data and using these patterns to derive useful …

An essential element of association rules is the strong confidence values that depend on the
support value threshold, which determines the optimum number of datasets. The existing …