Fuzzy and hybrid methods have been increasingly used in construction risk management
research and this study aims to compile and analyse the basic concepts and methods …

Despite the rapid development, the field of data mining and knowledge discovery (DMKD) is
still vaguely defined and lack of integrated descriptions. This situation causes difficulties in …

The article discusses the presence and potential of Artificial Intelligence in Chemical
Engineering and discusses its background. Topics include the Phases of Artificial …

Text classification (TC) is the task of automatically assigning documents to a fixed number of
categories. TC is an important component in many text applications. Many of these …

Environmental quality strongly depends on the human behavior patterns. University students
as a part of the young people of the community endure the burden of the past and current …

Coal industry is a typical high-risk industry with frequent accidents. In an effort to ensure
workers' safety and health, and reduce the probability of productivity decrease, it is essential …

This chapter provides an overview of the data matching process, and describes the five
major steps involved in this process: data pre-processing (cleaning and standardisation) …

Responsible, efficient and environmentally aware energy consumption behavior is
becoming a necessity for the reliable modern electricity grid. In this paper, we present an …

Naive Bayesian classification algorithm is widely used in big data analysis and other fields
because of its simple and fast algorithm structure. Aiming at the shortcomings of the naive …

Data preparation is a process that aims to convert independent (categorical and continuous)
variables into a form appropriate for further analysis. We examine data-preparation …