Frequent closed itemsets (FCI) play an important role in pruning redundant rules fast.
Therefore, a lot of algorithms for mining FCI have been developed. Algorithms based on …

In some situations, finding the rare association rule is of higher importance than the frequent
itemset. Unique rules represent rare cases, activities, or events in real-world applications. It …

Frequent closed itemsets provide a lossless and concise collection of all frequent itemsets to
reduce the runtime and memory requirement of frequent itemsets mining tasks. This study …

Traditional association rules consist of some redundant information. Some variants based
on support and confidence measures such as non-redundant rules and minimal non …

In this paper, we propose an efficient algorithm, called ICMiner (Inter-transaction Closed
patterns Miner), for mining closed inter-transaction itemsets. Our proposed algorithm …

Association rule mining among itemsets is a fundamental task and is of great importance in
many data mining applications including attacks in network data, stock market, financial …

Mining periodic patterns from time series databases is needed to predict any future situation.
Flexible pattern mining is a special kind of periodic pattern mining where intermediate …

This paper presents PGMiner, a novel graph-based algorithm for mining frequent closed
itemsets. Our approach consists of constructing a prefix graph structure and decomposing …

In this paper, we present an application of frequent itemsets lattice (FIL) to mine minimal non-
redundant association rules (MNARs) that reduces a lot of time for mining rules. Our method …

Closed itemsets and their generators play an important role in frequent itemset and
association rule mining. They allow a lossless representation of all frequent itemsets and …