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 …

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 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 …

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 …

An efficient structure for fast mining high utility itemsets

ZH Deng - Applied Intelligence, 2018 - Springer
High utility itemset mining has emerged to be an important research issue in data mining
since it has a wide range of real life applications. Although a number of algorithms have …

CLS-Miner: efficient and effective closed high-utility itemset mining

TL Dam, K Li, P Fournier-Viger, QH Duong - Frontiers of Computer Science, 2019 - Springer
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 …

mHUIMiner: A fast high utility itemset mining algorithm for sparse datasets

AY Peng, YS Koh, P Riddle - Advances in Knowledge Discovery and Data …, 2017 - Springer
High utility itemset mining is the problem of finding sets of items whose utilities are higher
than or equal to a specific threshold. We propose a novel technique called mHUIMiner …

UP-Growth: an efficient algorithm for high utility itemset mining

VS Tseng, CW Wu, BE Shie, PS Yu - Proceedings of the 16th ACM …, 2010 - dl.acm.org
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 …

Mining local and peak high utility itemsets

P Fournier-Viger, Y Zhang, JCW Lin, H Fujita… - Information Sciences, 2019 - Elsevier
A major limitation of traditional High Utility Itemset Mining (HUIM) algorithms is that they do
not consider that the utility of itemsets may vary over time. Thus, traditional HUIM algorithms …

FHM: Faster high-utility itemset mining using estimated utility co-occurrence pruning

P Fournier-Viger, CW Wu, S Zida, VS Tseng - Foundations of Intelligent …, 2014 - Springer
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 …