Introduction: The present research was conducted at Birla Institute of Technology, off
Campus in Noida, India, in 2017. Methods: To assess the efficiency of the proposed …

Recently, association rule mining has become an area of interest for research in the field of
knowledge discovery and several algorithms have been established. Lately, for business …

Conventional Frequent pattern mining discovers patterns in transaction databases based
only on the relative frequency of occurrence of items without considering their utility. Until …

Association rule mining (ARM) techniques search for groups of frequently co-occurring items
(ie, frequent itemset) in a market-basket transaction database and convert these groups into …

Due to the widespread computerization and affordable storage facilities, there exists
enormous amount of information in databases belonging to different enterprises. The …

Association rule defines the relationship among the items and discovers the frequent items
using a support-confidence framework. This framework establishes user-interested or strong …

The problem of frequent pattern mining has been well studied and there exist numerous
techniques in identifying a subset of pattern from large pattern set which represent the …

The patterns generated by frequent pattern mining aims to find the frequent items without
considering the utilities of the different items. The traditional association rule mining treats all …

In recent day's social media, smartphones, mobile apps, and the internet of things generate
huge amounts of data every second. This data is structured, unstructured, or semi-structured …

Association-rule mining, which is based on frequency values of items, is the most common
topic in data mining. In real-world applications, customers may, however, buy many copies …