Pattern mining (PM) is an important field of data mining and has gained considerable
momentum recently, mainly owing to the massive growth of big data. PM often sets attentive …

Sequential databases have wide applications, such as market basket analysis, medical
prediction, and sign language recognition. Most prior research is based on pointed-based …

Periodic-frequent patterns are a vital class of regularities in a temporal database. Most
previous studies followed the approach of finding these patterns by storing the temporal …

Analysing and learning from sequentially ordered symbolic data is increasingly important in
applications such as finance and biology. Finding patterns that show interesting behaviour …

Periodic-frequent patterns are an important class of regularities in an uncertain temporal
database. However, finding these patterns is computationally challenging due to its …

Partial periodic patterns are an important class of regularities in multiple time series data.
Most previous works focused on finding these patterns in a binary series by disregarding the …

Billboard advertisement is one of the dominant modes of traditional outdoor advertisements.
A billboard operator manages the ad slots of a set of billboards. Normally, a user traversal is …