Association rules are commonly used to provide decision‐makers with knowledge that helps
them to make good decisions. Most of the published proposals mine association rules …

Temporal data is one of the most common form of data in internet of things. Data from
various sources such as sensors, smart phones, smart homes and smart vehicles in near …

Membership functions help us to identify and know the similarity between two elements such
as vectors or sequences. The objective of this paper is to suggest a membership function …

Mining temporal association patterns from time-stamped temporal databases, first
introduced in 2009, remain an active area of research. A pattern is temporally similar when it …

Mining association patterns from a time-stamped temporal database is implicitly associated
with task of scanning input database. Finding supports of itemsets requires scanning the …

Medical record instances can have missing values which makes them unsuitable for
learning process. Data Imputation is normally done to fill one or more missing data attribute …

Discovery of temporal association patterns from temporal databases is extensively studied
by academic research community and applied in various industrial applications. Temporal …

Abstract Mining Temporal Patterns from temporal databases is challenging as it requires
handling efficient database scan. A pattern is temporally similar when it satisfies subset …

Support values of itemsets in snapshot databases are existence probability of itemsets at a
single time slot. A time-stamped transaction (temporal) database may be viewed as a …

Temporal pattern mining is the recent research among researchers contributing in the areas
of data mining, medical mining, spatial data mining, health informatics and gaining …