Smartphones are considered as one of the most essential and highly personal devices of
individuals in our current world. Due to the popularity of context-aware technology and …

Association rule mining is an effective data mining technique which has been used widely in
health informatics research right from its introduction. Since health informatics has received …

Due to the popularity of context-awareness in the Internet of Things (IoT) and the recent
advanced features in the most popular IoT device, ie, smartphone, modeling and predicting …

In recent years, weighted frequent itemsets mining (WFIM) has become a critical issue of
data mining, which can be used to discover more useful and interesting patterns in real …

The Climate change trains regularly some phenomena threatening directly the environment
and the humanity. In this context, meteorology plays a more important role in the control of …

Abstract Assertion-Based Verification (ABV) is one of the promising ways of functional
verification. The efficiency of ABV largely depends on the quality of the assertions in terms of …

Redescription mining is a field of knowledge discovery that aims at finding different
descriptions of similar subsets of instances in the data. These descriptions are represented …

The widening gap between known proteins and their functions has encouraged the
development of methods to automatically infer annotations. Automatic functional annotation …

Backgrounds The size of medical strategies is expected to grow in conjunction with the
expansion of modern diseases' complexity. When a strategy includes more than ten …

Measures of interestingness play a crucial role in association rule mining. An important
methodological problem, on which several papers appeared in the literature, is to provide a …