Evolutionary Computation (EC) approaches are inspired by nature and solve optimization
problems in a stochastic manner. They can offer a reliable and effective approach to address …

The tourism sector represents an opportunity for economic growth in countries with tourism
potential. However, new trends in global tourism require efficiency in tourism supply chain …

The deep foundation pit project (DFPP) in subway construction is characterized by a high
accident rate. Insufficient examination of the interactions among relevant safety risks often …

In association rules mining from data that have numeric-valued attributes, automatically
adjusting the attribute intervals at the time of the mining process without a preprocess is very …

Association rule mining is a technique that is widely used in data mining. This technique is
used to identify interesting relationships between sets of items in a dataset and predict …

In data mining, the classical association rule mining techniques deal with binary attributes;
however, real-world data have a variety of attributes (numerical, categorical, Boolean). To …

Field penetration index (FPI) is one of the representative key parameters to examine the
tunnel boring machine (TBM) performance. Lack of accurate FPI prediction can be …

At present, association rules have been widely used in prediction, personalized
recommendation, risk analysis and other fields. However, it has been pointed out that the …

The fast expansion of the Internet of Things (IoT) in the technology and communication
industries necessitates a continuously updated cyber-security mechanism to keep protecting …

Energy production from clean sources is mandatory to reduce pollutant emissions. Among
different options for hidden hydropower potential exploitation, Pump-as-Turbine (PaT) …