Table 1 Description of the datasets used Dataset Domain Users Items Transactions ART1 Artificial 800 5 3200 Artificialicial 2000 5 8000 ELEARN E-learning 509 295 2646 MUSIC Music website 785 3121 9128.
From the bargaining perspective, the items of transaction are analogous to the strategy choices, and the utility gain of a typical transaction is analogous to the payoff of executing a particular strategy.
It decentralizes everything else, including ratings, reviews, photos, pricing, metadata (for most, but not all items), fulfillment, transaction terms, and communication.
In the past, many algorithms have been proposed to mine frequent itemsets from transactional databases, in which the presence or absence of items in transactions was certainly known.
It finds out high utility itemsets by considering both the profits and quantities of items in transactions.
In traditional HUIM, the utility of an itemset is defined as the sum of the utilities of its items, in transactions where it appears.
Different from traditional fuzzy data mining, fuzzy utility mining considers not only quantities of items in transactions but also their profits for deriving high fuzzy utility itemsets.
Many works pointed out that other rules can be mined linking the present items in transactions with the missing ones designed as negative rules.
Merchants can also add $0.00 items in transactions.
However, the machine only handles one item per transaction, making it more suited to satisfying spontaneous cravings rather than supplying cupcake parties.
