Results 21 to 30 of about 5,295 (219)
AIMS Mathematics, 2023 In itemset mining, the two vital goals that must be resolved from a multi-objective perspective are frequency and utility. To effectively address the issue, researchers have placed a great deal of emphasis on achieving both objectives without ...
N. Pazhaniraja +5 more
semanticscholar +1 more source
A New Algorithm for High Average-utility Itemset Mining [PDF]
Journal of Artificial Intelligence and Data Mining, 2019 High utility itemset mining (HUIM) is a new emerging field in data mining which has gained growing interest due to its various applications. The goal of this problem is to discover all itemsets whose utility exceeds minimum threshold.
A. Soltani, M. Soltani
doaj +1 more source
A High Utility Itemset Mining Algorithm Based on Particle Filter
Mathematical Problems in Engineering, 2023 High utility itemset mining is an interesting research in the field of data mining, which can find more valuable information than frequent itemset mining.
Yang Yang +4 more
semanticscholar +1 more source
A General Method for mining high-Utility itemsets with correlated measures
Journal of Information and Telecommunication, 2021 Discovering high-utility itemsets from a transaction database is one of the important tasks in High-Utility Itemset Mining (HUIM). The discovered high-utility itemsets (HUIs) must meet a user-defined given minimum utility threshold.
Nguyen Manh Hung, Tung NT, Bay Vo
doaj +1 more source
FCHUIM: Efficient Frequent and Closed High-Utility Itemsets Mining
IEEE Access, 2020 Mining a closed high-utility itemset is a prevalent research task in analyzing transaction databases. However, numerous target itemsets are generated in the closed high-utility itemset mining task.
Tianyou Wei +5 more
doaj +1 more source
Earth Surface Processes and Landforms, Volume 48, Issue 11, Page 2141-2151, 15 September 2023., 2023 I argue that a concise [decimal latitude,longitude] tuple form of geo‐referencing be used to identify landforms and sample sites, in data strings and image metadata. This form enables searching and information exchange from geomorphology into and beyond Critical Zone studies via the FAIR data principles: findability, accessibility, interoperability and
W. Brian Whalley
wiley +1 more source
LUIM: New Low-Utility Itemset Mining Framework
IEEE Access, 2019 High-utility itemset mining (HUIM), which is the detection of high-utility itemsets (HUIs) in a transactional database, provides the decision maker with greater flexibility to exploit item utilities, such as quantity and profits, to extract remarkable ...
Naji Alhusaini +5 more
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 +4 more
doaj +1 more source
TUB-HAUPM: Tighter Upper Bound for Mining High Average-Utility Patterns
IEEE Access, 2018 High-utility itemset mining (HUIM) has been gaining popularity in the field of data mining. Frequent itemset mining used to be the main tool to reveal high-frequency patterns but failed to consider the concept of profit.
Jimmy Ming-Tai Wu +3 more
doaj +1 more source
An Efficient Approach for Mining Reliable High Utility Patterns
IEEE Access, 2022 Utility mining is one of the most thriving research topics with a wide range of real-world applications. High utility pattern mining uses a utility function to extract all desired patterns that exceed a minimum utility threshold.
Mohammed A. Fouad +4 more
doaj +1 more source