FOSHU: faster on-shelf high utility itemset mining--with or without negative unit profit
P Fournier-Viger, S Zida - Proceedings of the 30th annual ACM …, 2015 - dl.acm.org
High utility itemset (HUI) mining is a popular data mining task, which consists of discovering
sets of items generating high profit in a transaction database. Recently, several efficient …
sets of items generating high profit in a transaction database. Recently, several efficient …
FHN: efficient mining of high-utility itemsets with negative unit profits
P Fournier-Viger - Advanced Data Mining and Applications: 10th …, 2014 - Springer
High utility itemset (HUI) mining is a popular data mining task. It consists of discovering sets
of items generating high profit in a transaction database. Several efficient algorithms have …
of items generating high profit in a transaction database. Several efficient algorithms have …
Fast algorithms for mining high-utility itemsets with various discount strategies
JCW Lin, W Gan, P Fournier-Viger, TP Hong… - Advanced Engineering …, 2016 - Elsevier
In recent years, mining high-utility itemsets (HUIs) has emerged as a key topic in data
mining. It consists of discovering sets of items generating a high profit in a transactional …
mining. It consists of discovering sets of items generating a high profit in a transactional …
UP-Growth: an efficient algorithm for high utility itemset mining
Mining high utility itemsets from a transactional database refers to the discovery of itemsets
with high utility like profits. Although a number of relevant approaches have been proposed …
with high utility like profits. Although a number of relevant approaches have been proposed …
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 …
[HTML][HTML] Incremental high average-utility itemset mining: survey and challenges
J Chen, S Yang, W Ding, P Li, A Liu, H Zhang, T Li - Scientific Reports, 2024 - nature.com
Abstract The High Average Utility Itemset Mining (HAUIM) technique, a variation of High
Utility Itemset Mining (HUIM), uses the average utility of the itemsets. Historically, most …
Utility Itemset Mining (HUIM), uses the average utility of the itemsets. Historically, most …
Efficient high average-utility itemset mining using novel vertical weak upper-bounds
Discovering high average utility itemsets (HAUIs) in a quantitative database is a popular
data mining task, which aims at identifying sets of products (items) purchased together that …
data mining task, which aims at identifying sets of products (items) purchased together that …
High-utility itemset mining with effective pruning strategies
JMT Wu, JCW Lin, A Tamrakar - ACM Transactions on Knowledge …, 2019 - dl.acm.org
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 algorithms for high utility itemset mining without candidate generation
JF Qu, M Liu, P Fournier-Viger - High-utility pattern mining: theory …, 2019 - Springer
High utility itemsets are sets of items having a high utility or profit in a database. Efficiently
discovering high utility itemsets plays a crucial role in real-life applications such as market …
discovering high utility itemsets plays a crucial role in real-life applications such as market …