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A survey of itemset mining
Itemset mining is an important subfield of data mining, which consists of discovering
interesting and useful patterns in transaction databases. The traditional task of frequent …
interesting and useful patterns in transaction databases. The traditional task of frequent …
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 …
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 …
Mining high utility patterns in one phase without generating candidates
Utility mining is a new development of data mining technology. Among utility mining
problems, utility mining with the itemset share framework is a hard one as no anti …
problems, utility mining with the itemset share framework is a hard one as no anti …
Mining high-utility itemsets in dynamic profit databases
Abstract High-Utility Itemset (HUI) mining is an important data-mining task which has gained
popularity in recent years due to its applications in numerous fields. HUI mining aims at …
popularity in recent years due to its applications in numerous fields. HUI mining aims at …
Top-k high utility pattern mining with effective threshold raising strategies
In pattern mining, users generally set a minimum threshold to find useful patterns from
databases. As a result, patterns with higher values than the user-given threshold are …
databases. As a result, patterns with higher values than the user-given threshold are …