Association Rule mining is the prime booming field among researchers. Apriori algorithm is
a prime algorithm to compute association rules. Apriori algorithm considers only frequent …

Frequent and infrequent itemset mining are trending in data mining techniques. The pattern
of Association Rule (AR) generated will help decision maker or business policy maker to …

Metacognition is a valuable tool for learning, particularly in online settings, due to its role in
self-regulation. Being metacognitive is especially crucial for students who face exceptional …

The mining of concealed information from databases using Association Rule Mining seems
to be promising. The successful extraction of this information will give a hand to many areas …

The research purpose is to develop a performance enhancement in Incremental Eclat
(iEclat) model by embedding Critical Relative Support (CRS) in mining of infrequent itemset …

The present work aims to research the application of Calendar-Based Temporal Association
Rules in a retail business and how to apply the retrieved knowledge in Management …

The mining of concealed information from databases using Association Rule Mining seems
to be promising. The successful extraction of this information will give a hand to many areas …

Da ta mining a nd data analytic a re the key components in the field of data science and
applied research. Specifically, generating a rule or pattern in mining still suffer in the issue of …

An efficient PSO has been proposed for frequent itemsets mining. It is based on random bias
removal in each iteration. Numeric and character both data can be accepted in our …