Extracting stable periodic-frequent patterns in very large temporal databases is a key task in
big data analytics. Existing studies have mainly concentrated on discovering these patterns …

Partial periodic pattern (3P) mining is a vital data mining technique that aims to discover all
interesting patterns that have exhibited partial periodic behavior in temporal databases …

Finding periodic-frequent patterns in temporal databases is a prominent data mining
problem with bountiful applications. It involves discovering all patterns in a database that …