Stable periodic-frequent itemset mining is essential in big data analytics with many real-
world applications. It involves extracting all itemsets exhibiting stable periodic behaviors in a …

Most of the periodic pattern mining algorithms extract fully periodic patterns by strictly
monitoring the cyclic behaviour of patterns in transactional as well as temporal databases …

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 …

Periodic frequent-pattern mining (PFPM) is a vital knowledge discovery technique that
identifies periodically occurring patterns in a temporal database. Although traditional PFPM …

Periodic patterns assist in the discovery of crucial information in the fields, including fraud
detection, telecommunications, retail marketing, research, and medicine. Numerous …

Partial periodic pattern mining involves discovering all the patterns in a temporal database
that satisfy the specified minimum periodic support (minPS) and period (per) constraints. The …

The identification of periodic patterns is of great significance in revealing hidden temporal
patterns and regularities across various domains, including finance, healthcare, and social …

I am deeply grateful for the guidance and support of numerous individuals whose invaluable
assistance made this thesis possible. I owe a great debt of gratitude to my advisor, Prof …