Association rules have been widely used in many application areas to extract new and
useful information expressed in a comprehensive way for decision makers from raw data …

Association rule mining is one of the fundamental tasks of data mining. The conventional
association rule mining algorithms, using crisp set, are meant for handling Boolean data …

Mining of sensitive rules is the most important task in data mining. Most of the existing
techniques worked on finding sensitive rules based upon the crisp thresh hold value of …

This study adapted an improved algorithm based on Artifical Bee Colony Optimization. It is
not possible to justify that all the rules generated by fuzzy based apriori algorithm produce …

ABSTRACT Frequent Itemset Mining is an important approach for Market Basket Analysis.
Earlier, the frequent itemsets are determined based on the customer transactions of binary …

The purpose of user behavior clustering analysis is to analyze the features of core user
groups. However, existing user behavior clustering algorithms cannot directly handle multi …

The underlying reason for this manuscript is to implement big data analytics to find
meaningful patterns and offer useful insights from a large amount of big data available …

The active growth of the scientific social networks is determined by increase of researchers
and directions of investigations. This activity generates big data and analysis of such data …

Data mining has many aspects like clustering, classification, anomaly detection, association
rule mining etc. Among such data mining tools, association rule mining has gained a lot of …

Data mining has many aspects like clustering, classification, anomaly detection, association
rule mining etc. Among such data mining tools, association rule mining has gained a lot of …