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 …

The explosive growth in the number of devices connected to the Internet of Things (IoT) and
the exponential increase in data consumption only reflect how the growth of big data …

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 …

Secure data transmission over the public channels have high impact and increasingly
important due to theft and manipulation in contents. The requirement of public/private …

The term IoT emerging services is used to refer to the modern kinds of services that IoT can
provide to enhance service and experience quality by reducing complexity, speeding up …

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 …