Recent advances in technology have brought major breakthroughs in data collection,
enabling a large amount of data to be gathered over time and thus generating time series …

Context: New programming languages (eg, Swift, Go, Rust, etc.) are being introduced to
provide a better opportunity for the developers to make software development robust and …

In the era of big data, practical applications in various domains continually generate large-
scale time-series data. Among them, some data show significant or potential periodicity …

The availability of massive geo-annotated social media data sheds light on studying human
mobility patterns. Among them, periodic pattern,\ie an individual visiting a geographical …

Mining periodic patterns in time series databases is a daunting research task that plays a
significant role at decision making in real life applications. There are many algorithms for …

Periodic pattern detection in time-ordered sequences is an important data mining task,
which discovers in the time series all patterns that exhibit temporal regularities. Periodic …

Key performance indicator (KPI) anomaly detection (AD) is critical to ensure service quality
and reliability. Due to the effects of work days, off days, festivals, and business activities on …

With the advances in the development of mobile payments, a huge amount of payment data
are collected by banks. User payment data offer a good dataset to depict customer behavior …

Rapid technology integration causes a high dimensional time series data accumulation in
multiple domains and applying the classical data mining tools and techniques becomes a …

Extracting frequent patterns from databases has always been an imperative task for the data
mining community. Literature has endowed plentiful endeavors to this research area with …