Mining high-utility itemsets with multiple minimum utility thresholds
JCW Lin, W Gan, P Fournier-Viger… - Proceedings of the Eighth …, 2015 - dl.acm.org
High-utility itemset mining (HUIM) is an emerging topic in data mining. It consists of
discovering high-utility itemsets (HUIs), ie groups of items (itemsets) that generate a high …
discovering high-utility itemsets (HUIs), ie groups of items (itemsets) that generate a high …
Mining minimal high-utility itemsets
Mining high-utility itemsets (HUIs) is a key data mining task. It consists of discovering groups
of items that yield a high profit in transaction databases. A major drawback of traditional high …
of items that yield a high profit in transaction databases. A major drawback of traditional high …
Efficient incremental high utility itemset mining
P Fournier-Viger, JCW Lin, T Gueniche… - Proceedings of the ASE …, 2015 - dl.acm.org
High-utility itemset mining (HUIM) in transaction databases is an important data mining task
with wide applications. However, most HUIM algorithms assume the unrealistic assumption …
with wide applications. However, most HUIM algorithms assume the unrealistic assumption …
FHM: Faster high-utility itemset mining using length upper-bound reduction
P Fournier-Viger, JCW Lin, QH Duong… - … Conference on Industrial …, 2016 - Springer
High-utility itemset (HUI) mining is a popular data mining task, consisting of enumerating all
groups of items that yield a high profit in a customer transaction database. However, an …
groups of items that yield a high profit in a customer transaction database. However, an …
More efficient algorithms for mining high-utility itemsets with multiple minimum utility thresholds
W Gan, JCW Lin, P Fournier-Viger, HC Chao - Database and Expert …, 2016 - Springer
Mining high-utility itemsets (HUIs) is a popular data mining task, which consists of
discovering sets of items that yield a high profit in a transaction database. Although HUI …
discovering sets of items that yield a high profit in a transaction database. Although HUI …
Efficient mining of high average-utility itemsets with multiple minimum thresholds
JCW Lin, T Li, P Fournier-Viger, TP Hong… - … York, NY, USA, July 13-17 …, 2016 - Springer
High average-utility itemsets mining (HAUIM) is a key data mining task, which aims at
discovering high average-utility itemsets (HAUIs) by taking itemset length into account in …
discovering high average-utility itemsets (HAUIs) by taking itemset length into account in …
Mining of high‐utility itemsets with negative utility
High‐utility itemset (HUI) mining is an important tasks during data mining. Recently, many
algorithms have been proposed to discover HUIs. Most of the algorithms work only for …
algorithms have been proposed to discover HUIs. Most of the algorithms work only for …
A fast algorithm for mining high average-utility itemsets
JCW Lin, S Ren, P Fournier-Viger, TP Hong, JH Su… - Applied …, 2017 - Springer
Mining high-utility itemsets (HUIs) in transactional databases has become a very popular
research topic in recent years. A popular variation of the problem of HUI mining is to …
research topic in recent years. A popular variation of the problem of HUI mining is to …
Mining high utility itemsets without candidate generation
M Liu, J Qu - Proceedings of the 21st ACM international conference …, 2012 - dl.acm.org
High utility itemsets refer to the sets of items with high utility like profit in a database, and
efficient mining of high utility itemsets plays a crucial role in many real-life applications and …
efficient mining of high utility itemsets plays a crucial role in many real-life applications and …
Mining maximal high utility itemsets on dynamic profit databases
LTT Nguyen, DB Vu, TDD Nguyen… - Cybernetics and Systems, 2020 - Taylor & Francis
To overcome the limitation of high-utility itemset mining, more compact, lossless, and
concise representations of high utility itemsets (HUIs) have been proposed in previous …
concise representations of high utility itemsets (HUIs) have been proposed in previous …