In this full review paper, the recent emerging trends in E-learning Assessment have been
reviewed and explored to address the recent topics and contributions in the era of Distance …

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 …

Time profiled association mining is one of the important and challenging research problems
that is relatively less addressed. Time profiled association mining has two main challenges …

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 …

Euclidean distance measure is widely adopted distance measure to find the distance
between any two vectors. In this paper, we extend the use of Euclidean distance to 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 …

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 …

Outlier Detection is one of the important research problems in temporal data mining. A
pattern in time stamped temporal database is a sequence of probability values. Finding …