FHM: Faster high-utility itemset mining using estimated utility co-occurrence pruning
High utility itemset mining is a challenging task in frequent pattern mining, which has wide
applications. The state-of-the-art algorithm is HUI-Miner. It adopts a vertical representation …
applications. The state-of-the-art algorithm is HUI-Miner. It adopts a vertical representation …
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 …
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 …
HMiner: Efficiently mining high utility itemsets
S Krishnamoorthy - Expert Systems with Applications, 2017 - Elsevier
High utility itemset mining problem uses the notion of utilities to discover interesting and
actionable patterns. Several data structures and heuristic methods have been proposed in …
actionable patterns. Several data structures and heuristic methods have been proposed in …
EFIM: a highly efficient algorithm for high-utility itemset mining
S Zida, P Fournier-Viger, JCW Lin, CW Wu… - … conference on artificial …, 2015 - Springer
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) …
CLS-Miner: efficient and effective closed high-utility itemset mining
High-utility itemset mining (HUIM) is a popular data mining task with applications in
numerous domains. However, traditional HUIM algorithms often produce a very large set of …
numerous domains. However, traditional HUIM algorithms often produce a very large set of …
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 …
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 high utility itemset mining using buffered utility-lists
QH Duong, P Fournier-Viger, H Ramampiaro… - Applied …, 2018 - Springer
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 …