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A survey of incremental high‐utility itemset mining
Traditional association rule mining has been widely studied. But it is unsuitable for real‐
world applications where factors such as unit profits of items and purchase quantities must …
world applications where factors such as unit profits of items and purchase quantities must …
EFIM: a fast and memory efficient algorithm for high-utility itemset mining
In recent years, high-utility itemset mining has emerged as an important data mining task.
However, it remains computationally expensive both in terms of runtime and memory …
However, it remains computationally expensive both in terms of runtime and memory …
Pruning strategies for mining high utility itemsets
High utility itemset mining problem involves the use of internal and external utilities of items
(such as profits, margins) to discover interesting patterns from a given transactional …
(such as profits, margins) to discover interesting patterns from a given transactional …
EFIM: a highly efficient algorithm for high-utility itemset mining
High-utility itemset mining (HUIM) is an important data mining task with wide applications. In
this paper, we propose a novel algorithm named EFIM (EFficient high-utility Itemset Mining) …
this paper, we propose a novel algorithm named EFIM (EFficient high-utility Itemset Mining) …
A survey of high utility itemset mining
High utility pattern mining is an emerging data science task, which consists of discovering
patterns having a high importance in databases. The utility of a pattern can be measured in …
patterns having a high importance in databases. The utility of a pattern can be measured in …
High-utility itemset mining with effective pruning strategies
High-utility itemset mining is a popular data mining problem that considers utility factors,
such as quantity and unit profit of items besides frequency measure from the transactional …
such as quantity and unit profit of items besides frequency measure from the transactional …
Efficient high utility itemset mining using buffered utility-lists
Discovering high utility itemsets in transaction databases is a key task for studying the
behavior of customers. It consists of finding groups of items bought together that yield a high …
behavior of customers. It consists of finding groups of items bought together that yield a high …
Damped window based high average utility pattern mining over data streams
Data mining methods have been required in both commercial and non-commercial areas. In
such circumstances, pattern mining techniques can be used to find meaningful pattern …
such circumstances, pattern mining techniques can be used to find meaningful pattern …
UBP-Miner: An efficient bit based high utility itemset mining algorithm
HUIM (High utility itemset mining) is a key problem in data mining. The goal is to find
itemsets having a high importance or profit in a database, to identify useful knowledge that …
itemsets having a high importance or profit in a database, to identify useful knowledge that …
A binary PSO approach to mine high-utility itemsets
High-utility itemset mining (HUIM) is a critical issue in recent years since it can be used to
reveal the profitable products by considering both the quantity and profit factors instead of …
reveal the profitable products by considering both the quantity and profit factors instead of …