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 …

Frequent pattern mining has become very useful and interesting to researchers due to its
high applicability. Different real-life databases (eg, sensor network, medical diagnosis data) …

In recent decades, mobile or the Internet of Thing (IoT) devices are dramatically increasing
in many domains and applications. Thus, a massive amount of data is generated and …

High-utility pattern mining is an important sub-literature in the data mining literature. This
literature discusses the discovery of useful pattern information from large databases by …

Big data analysis and mining aims to discover implicit, previously unknown, and potentially
useful information and knowledge from big databases that contain high volumes of valuable …

Due to the rapid development of science and technology, the importance of imprecise, noisy,
and uncertain data is increasing at an exponential rate. Thus, mining patterns in uncertain …

High utility itemset mining considers unit profits and quantities of items in a transaction
database to extract more applicable and more useful association rules. Downward closure …

Very large time series are increasingly available from an ever wider range of IoT-enabled
sensors deployed in different environments. Significant insights can be gained by mining …

As one of the various data mining areas, erasable pattern mining is a method for solving
financial problems that can be caused in various industrial fields. Since the concept of …

Modern databases are crucial components of quality management systems according to the
requirements of ISO 9001: 2015, but their design and maintenance need significant …