Efficient mining high average-utility itemsets with effective pruning strategies and novel list structure

G Li, T Shang, Y Zhang - Applied Intelligence, 2023 - Springer
High utility itemset mining can mine all itemsets that meet the minimum utility threshold set
by the decision maker, thus becomes a popular and prominent data-mining technique. High …

A fast high average-utility itemset mining with efficient tighter upper bounds and novel list structure

KK Sethi, D Ramesh - The journal of supercomputing, 2020 - Springer
High-utility itemset mining is a prominent data-mining technique where the profit or weight of
itemsets plays a crucial role in defining meaningful patterns. High average-utility itemset …

Top-k high average-utility itemsets mining with effective pruning strategies

R Wu, Z He - Applied Intelligence, 2018 - Springer
High average-utility itemset (HAUI) mining has recently received interest in the data mining
field due to its balanced utility measurement, which considers not only profits and quantities …

An efficient projection-based method for high utility itemset mining using a novel pruning approach on the utility matrix

MK Sohrabi - Knowledge and Information Systems, 2020 - Springer
High utility itemset mining is an important extension of frequent itemset mining which
considers unit profits and quantities of items as external and internal utilities, respectively …

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 …

MEMU: more efficient algorithm to mine high average-utility patterns with multiple minimum average-utility thresholds

JCW Lin, S Ren, P Fournier-Viger - IEEE Access, 2018 - ieeexplore.ieee.org
High average-utility itemsets mining (HAUIM) is an emerging topic in data mining.
Compared to traditional high utility itemset mining, HAUIM more fairly measures the utility 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 …

Mining top-k high average-utility itemsets based on breadth-first search

X Liu, G Chen, F Wu, S Wen, W Zuo - Applied Intelligence, 2023 - Springer
High average-utility itemset mining is a subfield of data mining that has extensive practical
applications. However, it is difficult for users to determine a proper minimum threshold …

TKEH: an efficient algorithm for mining top-k high utility itemsets

K Singh, SS Singh, A Kumar, B Biswas - Applied intelligence, 2019 - Springer
High utility itemsets mining is a subfield of data mining with wide applications. Although the
existing high utility itemsets mining algorithms can discover all the itemsets satisfying a …

List-based mining top-k average-utility itemsets with effective pruning and threshold raising strategies

Z Li, G Li, L Zhao, T Shang - Applied Intelligence, 2023 - Springer
High average utility itemset mining (HAUIM), a fairer pattern mining method, discovers the
itemsets through the utility value and length of itemset. Nevertheless, it is difficult for users to …