Association rule mining (ARM) is one of the core techniques of data mining to discover
potentially valuable association relationships from mixed datasets. In the current research …

Data mining, the extraction of hidden predictive large amounts of data and picking out the
relevant information from large databases, is a powerful new technology with great potential …

In the area of association rule mining, most previous research had focused on improving
computational efficiency. However, determination of the threshold values of support and …

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 …

Mining quantitative association rules is one of the most important tasks in data mining and
exists in many real-world problems. Many researches have proved that particle swarm …

With the explosive growth of information data in today's society, the continuous accumulation
and increase of data in recent years make it difficult to extract useful information from it, so …

Discovering knowledge from the amount of data plays an important role in the era of big data
and FP-Growth algorithm is one of the most successful methods for learning association …

The association rule extraction process often involves a large number of candidate item sets
and multiple read operations on data sets. With the emergence of massive data, the …

In this paper, we developed a binary particle swarm optimization (BPSO) based association
rule miner. Our BPSO based association rule miner generates the association rules from the …

Association rule mining is one of the most important and active research areas in data
mining. In the literature, several association rule miners have been proposed; among them …