As the construction industry is carried out in hazardous environments, it experiences accidents in different levels of severity, some causing minor and major injuries with even some resulting in fatality. In addition to the human cost involved, it also causes bad publicity to the profession. Worldwide, authorities have tightened up safety standards, which have enhanced the performance in constr...

  In recent years, various time series models have been proposed for financial markets forecasting. In each case, the accuracy of time series forecasting models are fundamental to make decision and hence the research for improving the effectiveness of forecasting models have been curried on. Many researchers have compared different time series models together in order to determine more efficien...

In Taiwan, the fatal accident rate was 146 per million populations in 2008, roughly 1.8 times the Organization for Economic Co-operation and Development average rate. Many studies have focused on traffic safety and attempted to identify methods for preventing traffic accidents. However, the analytical models used most frequently, including Statement Statistic, Regression Analysis, Factor Analys...

In Belgium, traffic safety is currently one of the government’s highest priorities. Identifying and profiling black spots and black zones in terms of accident related data and location characteristics must provide new insights into the complexity and causes of road accidents which, in turn, provide valuable input for government actions. In this paper, association rules are used to identify acci...

We present an approach for interpreting a black-box alarming system forecasting accidents and anomalies during the drilling of oil gas wells. The interpretation methodology aims to explain local behavior accident predictive model engineers. explanatory uses Shapley additive explanations analysis features, obtained through Bag-of-features representation telemetry logs used phase. Validation show...

In our daily life, people are often using forecasting techniques to predict weather, stock, economy and even some important Key Performance Indicator (KPI), and so forth. Therefore, forecasting methods have recently received increasing attention. In the last years, many researchers used fuzzy time series methods for forecasting because of their capability of dealing with vague data. The followe...

Accurate models for electric power load forecasting are essential to the operation and planning of a power utility company. Load forecasting helps electric utility to make important decisions on trading of power, load switching, and infrastructure development. Load forecasts are extremely important for power utilizes ISOs, financial institutions, and other stakeholder of power sector. Short ter...

The aim of this paper is to determine whether the existing leading indicators system CROLEI (CROatian Leading Economic Indicators) and its derivative, the CROLEI forecasting index, predict overall Croatian economic activity reliably. The need to evaluate the CROLEI system and the index stems from the modification of the barometric method on which the system and the index are founded on in its a...

Tourism forecasting plays an important role in tourism planning and management. Various forecasting techniques have been developed and applied to the tourism context, amongst which econometric forecasting has been winning an increasing popularity in tourism research. This paper therefore aims to introduce the latest developments of econometric forecasting approaches and their applications to to...