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 …

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 …

The requirement to manage complicated nonlinear systems with high uncertainty is one of
the main drivers of progress in the identification and control discipline. Since most of 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 …

Finding temporal association patterns from temporal dataset is addressed in a wider
perspective in the existing literature. Discovering time profiled temporal patterns is …

Detecting Intrusions and anomalies is becoming much more challenging with new attacks
popping out over a period of time. Achieving better accuracies by applying benchmark …

Similarity profiled association mining from time stamped transaction databases is an
important topic of research relatively less addressed in the field of temporal data mining …

Sequential approach for mining temporal itemsets initially proposed by Yoo and Sekhar
uses the Euclidean distance measure to discover similarity profiled temporal associations …