The advent of connected devices and omnipresence of Internet have paved way for
intruders to attack networks, which leads to cyber-attack, financial loss, information theft in …

We live in a world were data are generated from a myriad of sources, and it is really cheap to
collect and storage such data. However, the real benefit is not related to the data itself, but …

Evolutionary fuzzy systems are one of the greatest advances within the area of
computational intelligence. They consist of evolutionary algorithms applied to the design of …

Abstract The previous Fuzzy Rule-Based Classification Systems (FRBCSs) for Big Data
problems consist in concurrently learning multiple Chi et al. FRBCSs whose rule bases are …

Fuzzy rule-based systems (FRBSs) is a rule-based system which uses linguistic fuzzy
variables as antecedents and consequent to represent human-understandable knowledge …

Emerging pattern mining is a data mining task that aims to discover discriminative patterns,
which can describe emerging behavior with respect to a property of interest. In recent years …

Interpretability has always been a major concern for fuzzy rule-based classifiers. The usage
of human-readable models allows them to explain the reasoning behind their predictions …

The increase of the adoption of IoT devices and the contemporary problem of food
production have given rise to numerous applications of IoT in agriculture. These applications …

Fuzzy associative classification has not been widely analyzed in the literature, although
associative classifiers (ACs) have proved to be very effective in different real domain …

Nowadays the amount of networks of devices and sensors, such as smart homes or smart
cities, is rapidly increasing. Each of these devices generates massive amounts of data on a …