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 …

Supervised classification based on Contrast Patterns (CP) is a trending topic in the pattern
recognition literature, partly because it contains an important family of both understandable …

Contrast set mining is one of the most important tasks in the supervised descriptive pattern
mining field. It aims at finding patterns whose frequencies differ significantly among sets of …

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 …

Emerging pattern mining is a data mining task that belongs to the supervized descriptive rule
discovery framework. Its objective is to find rules that describe emerging behavior or …

Contrast pattern mining (CPM) is an important and popular subfield of data mining.
Traditional sequential patterns cannot describe the contrast information between different …

Nowadays, the growth of available data, known as big data, and machine learning
techniques are changing our lives. The extraction of insights related to the underlying …

An autopsy is a widely recognized procedure to guarantee ongoing enhancements in
medicine. It finds extensive application in legal, scientific, medical, and research domains …

Internet and the new technologies are generating new scenarios with and a significant
increase of data volumes. The treatment of this huge quantity of information is impossible …

Today, the number of existing devices generates immense amounts of data on a continuous
basis that must be processed by new distributed data stream mining approaches. In this …