Reinforcement learning with time intervals for temporal knowledge graph reasoning
Temporal reasoning methods have been successful in temporal knowledge graphs (TKGs)
and are widely employed in many downstream application areas. Most existing TKG …
and are widely employed in many downstream application areas. Most existing TKG …
Finding Partial Periodic and Rare Periodic Patterns in Temporal Databases
KJ Upadhya, A Paleja, M Geetha, BD Rao… - IEEE …, 2023 - ieeexplore.ieee.org
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 …
monitoring the cyclic behaviour of patterns in transactional as well as temporal databases …
3P-ECLAT: mining partial periodic patterns in columnar temporal databases
V Pamalla, UK Rage, R Penugonda, L Palla… - Applied …, 2024 - Springer
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 …
interesting patterns that have exhibited partial periodic behavior in temporal databases …
k-PFPMiner: Top-k Periodic Frequent Patterns in Big 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 …
problem with bountiful applications. It involves discovering all patterns in a database that …