Mining periodic high-utility itemsets with both positive and negative utilities

F Lai, X Zhang, G Chen, W Gan - Engineering Applications of Artificial …, 2023 - Elsevier
Mining high-utility patterns in databases containing items with both positive and negative
profits is useful in market basket databases, since negative profits are common in the real …

Mining frequent temporal duration-based patterns on time interval sequential database

F Lai, G Chen, W Gan, M Sun - Information Sciences, 2024 - Elsevier
Sequential databases have wide applications, such as market basket analysis, medical
prediction, and sign language recognition. Most prior research is based on pointed-based …

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 …

A fundamental approach to discover closed periodic-frequent patterns in very large temporal databases

V Pamalla, UK Rage, R Penugonda, L Palla… - Applied …, 2023 - Springer
Periodic frequent-pattern mining (PFPM) is a vital knowledge discovery technique that
identifies periodically occurring patterns in a temporal database. Although traditional PFPM …

A unified framework to discover partial periodic-frequent patterns in row and columnar temporal databases

P Veena, S Nakamura, P Likhitha… - … Conference on Data …, 2021 - ieeexplore.ieee.org
Partial periodic-frequent pattern mining is an important knowledge discovery technique in
data mining. It involves identifying all frequent patterns that have exhibited partial periodic …