Mining association rules is a popular and well-studied method of data mining tasks whose
primary aim is the discovers of the correlation among sets of items in the transactional …

Association rules mining has attracted a lot of attention in the data mining community. It aims
to extract the interesting rules from any given transactional database. This paper deals with …

Association rules mining (ARM) is a fundamental and widely used data mining technique to
achieve useful information about data. The traditional ARM algorithms are degrading …

Sažetak Association Rules Mining (ARM) is one of the most popular and well-known
approaches for the decision-making process. All existing ARM algorithms are time …

This paper addresses the problem of association rules mining with large scale data sets
using bees behaviors. The bees swarm optimization method have been successfully …

To discover the frequent item sets from the huge data sets, one of the most popular
techniques of data mining, called association rule mining technique used. For generating …

Abstract We present a Modified Artificial Fish Swarm Algorithm (MFSA) which has many
benefits that includes higher convergence rate, flexibility, fault tolerance and high accuracy …

The current world wide web is featured by big volumes of data. The classical association
rules mining algorithms dealt with data sets somehow in an efficient way and in reasonable …

Association rule mining is a very important research topic in the field of data mining.
Discovering frequent itemsets is the key process in association rule mining. Traditional …

Association rules mining is becoming more challenging with the large transactional
databases typical of modern times. Conventional exact algorithms for association rules …