Discovering unexpected and useful patterns in databases is a fundamental data mining task.
In recent years, a trend in data mining has been to design algorithms for discovering …

With the growing popularity of shared resources, large volumes of complex data of different
types are collected automatically. Traditional data mining algorithms generally have …

We expect a future where we are surrounded by embedded devices, ranging from Java-
enabled cell phones to sensor networks and smart appliances. An adversary can …

Recently, the advancement of cognitive computing and three-way decisions has enabled in-
depth sequential pattern understanding through temporal association analysis. The main …

Data uncertainty has been taken into a consideration for mining and discovery of its hidden
knowledge in a variety of applications. Due to the fact that the nature of closed sequences is …

In this uncertain world, data uncertainty is inherent in many applications and its importance
is growing drastically due to the rapid development of modern technologies. Nowadays …

As data have been accumulated more quickly in recent years, corresponding databases
have also become huger, and thus, general frequent pattern mining methods have been …

In recent years, sequential pattern mining (SPM) has been applied in many domains,
including recommender systems, fraud detection, and other related industries. Target …

Recognizing an action from a sequence of 3D skeletal poses is a challenging task. First,
different actors may perform the same action in various performing styles. Second, the …

Large volumes of mobility data is collected in various application domains. Enterprise
applications are designed on the notion of centralised data control where the proprietary of …