Clustering has been widely used for data pre-processing, mining, and analysis. The k-
means clustering algorithm is commonly used because of its simplicity and flexibility to work …

The era of big data is evolving with the introduction of the data lake concept. While a data
warehouse provides a well-structured model to manage big data, a data lake accepts data of …

As a method of extracting important information in the real world, the field of pattern mining
has been actively studied. In particular, in industrial fields such as factories, it is also …

Partially due to technological advancements as well as the availability of affordable global
positioning system (GPS) and cellular devices, more spatio-temporal data can be generated …

In the current era of big data, technological advancements have made it easy and quick to
generate and collect huge volumes of varieties of data from wide ranges of rich data …

Sequential pattern mining (SPM) is a useful tool for extracting implicit and meaningful rules
from sequence datasets that can aid the decision-making process. These rules are ordered …

Nowadays, social networking is popular. As such, numerous social networking sites (eg,
Facebook, YouTube, Instagram) are generating very large volumes of social data rapidly …

Order-preserving pattern (OPP) mining is a type of sequential pattern mining method in
which a group of ranks of time series is used to represent an OPP. This approach can …

In the current uncertain world, data are kept growing bigger. Big data refer to the data flow of
huge volume, high velocity, wide variety, and different levels of veracity (eg, precise data …

Nowadays, social networking is popular. As such, numerous social networking sites (eg,
Facebook, YouTube, Instagram) are generating very large volumes of social data rapidly …