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 …
Mining local high utility itemsets
P Fournier-Viger, Y Zhang, JCW Lin, H Fujita… - Database and Expert …, 2018 - Springer
Abstract High Utility Itemset Mining (HUIM) is the task of analyzing customer transactions to
find the sets of items that yield a high utility (eg profit). A major limitation of traditional HUIM …
find the sets of items that yield a high utility (eg profit). A major limitation of traditional HUIM …
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 …
An efficient algorithm to mine high average-utility itemsets
JCW Lin, T Li, P Fournier-Viger, TP Hong… - Advanced Engineering …, 2016 - Elsevier
With the ever increasing number of applications of data mining, high-utility itemset mining
(HUIM) has become a critical issue in recent decades. In traditional HUIM, the utility of an …
(HUIM) has become a critical issue in recent decades. In traditional HUIM, the utility of an …
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 …
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 …
Efficiently mining high utility itemsets with negative unit profits
S Krishnamoorthy - Knowledge-Based Systems, 2018 - Elsevier
Abstract A High Utility Itemset (HUI) mining is an important problem in the data mining
literature that considers utilities of items (such as profits and margins) to discover interesting …
literature that considers utilities of items (such as profits and margins) to discover interesting …
Efficient mining of high-utility itemsets using multiple minimum utility thresholds
JCW Lin, W Gan, P Fournier-Viger, TP Hong… - Knowledge-Based …, 2016 - Elsevier
In the field of data mining, the topic of high-utility itemset mining (HUIM) has recently gained
a lot of attention from researchers as it takes many factors into account that are useful for …
a lot of attention from researchers as it takes many factors into account that are useful for …
EHAUPM: Efficient high average-utility pattern mining with tighter upper bounds
JCW Lin, S Ren, P Fournier-Viger, TP Hong - IEEE Access, 2017 - ieeexplore.ieee.org
High-utility itemset mining (HUIM) has become a popular data mining task, as it can reveal
patterns that have a high-utility, contrarily to frequent pattern mining, which focuses on …
patterns that have a high-utility, contrarily to frequent pattern mining, which focuses on …