… information about an itemset and employs an iterative level-wise approach to mine high
occupancy itemset via a pruning strategy based on upper bound of occupancy. Substantial …

… current works related to frequent itemset mining and high occupancy itemset mining. In Section
3, … The proposed FHOI and DFHOI algorithms for mining all high occupancy itemsets are …

… For the first time, the concept of transaction occupancy is … mining of high occupancy
itemsets. Based on the concept of transaction occupancy, a new computational model of itemset …

… to mine high utility occupancy itemsets (HUOIs) which satisfy both the support threshold and
the utility occupancy … In this way, high utility occupancy itemset mining (HUOIM) takes into …

… , whereas, high occupancy pattern mining provides itemsets that are frequently sold that
also have large proportions of the purchase amounts. It can provide itemsets that encourage …

… mining based on business objectives. Yao et al. [17] then defined utility mining as the problem
of finding profitable itemsets … Then, for any possible high-utility occupancy itemset W in the …

… -itemset sequence in which each event is an itemset. In this article, we only focus on
single-itemset … One may think that dominant patterns with high occupancy usually contain a large …

… Now we compare high utility occupancy itemsets with high utility itemsets [4] and … proposed
high utility occupancy itemset mining is an extension of the high occupancy itemset mining …

… isolated items have higher occupancy which misleads in mining high qualified patterns. …
High-utility Occupancy itemset mining). It aims to efficiently mine high utility occupancy itemsets …

… by introducing an application called investment portfolio recommendation and
accordingly manifested a dominant and frequent itemset mining algorithm. Unfortunately, …