Frequent itemset mining is a fundamental problem in data mining area because frequent
itemsets have been extensively used in reasoning, classifying, clustering, and so on. To …

Data analytics is an integral part of strategic decision making in various fields but not limited
to business, education and healthcare systems. Existing research works focus on the …

The researchers have explored the frequent pattern mining problem by considering the fact
that the complete set of information to be processed can be accommodated in systems main …

Recently, tele-health systems have gained attention from vast research fields because they
facilitate remote monitoring of patients (eg vital sign data, physical activities, etc.) by utlizing …

Pattern mining has emerged as a compelling field of data mining over the years. Literature
has bestowed ample endeavors in this field of research ranging from frequent pattern mining …

Student are future of any nation and learning of those are analyze by exams. Different kind
of exams are conduct by educational bodies to check performance of individual students but …

Incremental mining of frequent patterns has attracted the attention of researchers in the last
two decades. The researchers have explored the frequent pattern mining from incremental …

Frequent itemset mining has been one of the most popular data mining techniques. Despite
a large number of algorithms developed to implement this functionality, there is still room for …

Our increasingly interconnected society poses large risks in terms of cyber security. With
network traffic volumes increasing and systems becoming more connected, maintaining …

The unprecedented rise in digitized data generation has led to the ever-expanding demand
for sophisticated storage and analysis methods capable of handling vast amounts of …