Traditional partial periodic pattern mining algorithms tend to work on a single time series or
database. However, time series databases usually consist of interrelated multivariate time …

High utility pattern mining (HUPM) plays a significant role in data mining technologies.
Traditional HUPM algorithms may produce a large number of high utility patterns (HUPs) …

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 …

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

Periodic high-utility sequential patterns (PHUSPs) mining is one of the research hotspots in
data mining, which aims to discover patterns that not only have high utility but also regularly …

Objectives. The overarching aim of this project is to propose new mathematical tools based
on time series analysis in order to analyze these behavioral data in an automated …