Results 31 to 40 of about 615 (220)

An Efficient Tree-Based Algorithm for Mining High Average-Utility Itemset

IEEE Access, 2019
High-utility itemset mining (HUIM), which is an extension of well-known frequent itemset mining (FIM), has become a key topic in recent years. HUIM aims to find a complete set of itemsets having high utilities in a given dataset.
Irfan Yildirim, Mete Celik
doaj   +1 more source

Hiding Sensitive High Utility and Frequent Itemsets Based on Constrained Intersection Lattice

Cybernetics and Information Technologies, 2022
Hiding high utility and frequent itemset is the method used to preserve sensitive knowledge from being revealed by pattern mining process. Its goal is to remove sensitive high utility and frequent itemsets from a database before sharing it for data ...
Vy Huynh Trieu, Hai Le Quoc, Long Nguyen Thanh, Chau Truong Ngoc, Hieu Le Quoc   +4 more
doaj   +1 more source

IEEE Access Special Section Editorial: Utility-Pattern Mining: Theoretical Analytics and Applications

IEEE Access, 2021
Utility-pattern mining in data has received a lot of attention from the knowledge discovery in database (KDD) community due to its high potential for many applications such as finance, biomedicine, manufacturing, e-commerce, and social media.
Jerry Chun-Wei Lin, Philippe Fournier-Viger, Vincent S. Tseng, Philip S. Yu   +3 more
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TargetUM: Targeted High-Utility Itemset Querying

CoRR, 2021
Preprint.
Jinbao Miao, Shicheng Wan, Wensheng Gan, Jiayi Sun 0002, Jiahui Chen 0002   +4 more
openaire   +2 more sources

A parallel declarative framework for mining high utility itemsets

, 2022
International audienceOne of the most active research topics in data mining is pattern discovery involving the well-known task of enumerating interesting patterns from databases.
Hidouri, Amel, Raddaoui, Badran, Chebbah, Mouna, Ben Yaghlane, Boutheina, Jabbour, Saïd   +4 more
core   +1 more source

Approximate Parallel High Utility Itemset Mining [PDF]

Big Data Research, 2016
High utility itemset mining discovers itemsets whose utility is above a given threshold, where the utility measures the importance of an itemset. It overcomes the limitation of frequent pattern mining, which uses frequency as its quality measure. To speed up the performance for mining high utility itemsets, many algorithms have been proposed which ...
Yan Chen 0021, Aijun An
openaire   +1 more source

Mining closed high utility itemsets based on propositional satisfiability

, 2021
International audienceA high utility itemset mining problem is the question of recognizing a set of items that have utility values greater than a given user utility threshold.
Hidouri, Amel, Raddaoui, Badran, Jabbour, Said, Ben Yaghlane, Boutheina, Ben   +3 more
core   +1 more source

Discovering High Utility Itemsets using Hybrid Approach

, 2015
Mining of high utility itemsets especially from the big transactional databases is time consuming task. For mining the high utility itemsets from large transactional datasets multiple methods are available and have some consequential limitations. In case
, Amol J. Gosavi, Dr. K. V. Metre
core   +1 more source

A declarative framework for mining Top-k high utility itemsets

, 2021
International audienceThe problem of mining high utility itemsets entails identifying a set of items that yield the highest utility values based on a given user utility threshold.
Hidouri, Amel, Mouna Chebbah, Raddaoui, Badran, Jabbour, Said, Chebbah, Mouna, Ben Yaghlane, Boutheina, Said Jabbour, Boutheina Ben Yaghlane, Badran Raddaoui, Amel Hidouri   +9 more
core   +1 more source

Algorithms Based on Dynamic Minimum Probabilistic Support and Utility Thresholds for Mining Top-K High-Utility Itemsets From Uncertain Databases

IEEE Access
Mining high-utility itemsets (HUIs) from large and uncertain databases is challenging due to the vast data volume and extensive search space. Determining the minimum utility and probabilistic support for all items is also a time-consuming task.
Khoi Nguyen, Thien Nguyen
doaj   +1 more source