Spatiotemporal data mining (STDM) discovers useful patterns from the dynamic interplay
between space and time. Several available surveys capture STDM advances and report a …

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 …

Distributed Denial of Service (DDoS) attacks in the cloud environment are not as simple as
the same attacks which occur in the traditional physical network environment. Not only one …

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 …

Online reviews and comments after product sales have become very important for making
buying and selling decisions. Fake reviews will affect such decisions due to deceptive …

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 …