Periodic frequent patterns are sets of events or items that periodically appear in a sequence
of events or transactions. Many algorithms have been designed to identify periodic frequent …

Periodic pattern mining is a popular data mining task, which consists of identifying patterns
that periodically appear in data. Traditional periodic pattern mining algorithms are designed …

Frequent pattern mining (FM) has a wide range of applications in the real world. But FM
sometimes discovers many uninteresting patterns at the same time. Constraint-based FM …

Discovering periodic patterns consists of identifying all sets of items (values) that periodically
co-occur in a discrete sequence. Although traditional periodic pattern mining algorithms …

Periodic pattern mining has become a popular research subject in recent years; this
approach involves the discovery of frequently recurring patterns in a transaction sequence …

Periodic frequent pattern discovery is a non-trivial task to discover frequent patterns based
on user interests using a periodicity measure. Although conventional algorithms for periodic …

Periodic high-utility sequential pattern mining (PHUSPM) is used to extract periodically
occurring high-utility sequential patterns (HUSPs) from a quantitative sequence database …

Understanding the residents' routine and repetitive behavior patterns is important for city
planners and strategic partners to enact appropriate city management policies. However, the …

Market basket prediction, which is the basis of product recommendation systems, is the
concept of predicting what customers will buy in the next shopping basket based on analysis …

Mobile healthcare has become an important trend in medical and healthcare domains. With
the rapid development of wearable and sensing technologies, various health-related …