Results 91 to 100 of about 498 (210)

High Average-Utility Itemset Mining with A Novel Vertical Weak Upper Bound

, 2023
High Average Utility Itemset (HAUI) mining (HAUIM) is an important task in data mining, as it has practical applications in diverse domains. To design efficient algorithms for HAUIM, researchers need to utilize upper bounds (UB) and weak upper bounds ...
Dương, Văn Hải, Trương, Chí Tín, Trần, Thống   +2 more
core   +1 more source

Optimized Closed Frequent High Utility Itemset Mining Using OSR, OWL, and MSU Pruning on Retail Transaction Data

JUTI: Jurnal Ilmiah Teknologi Informasi
This research proposes the optimization of the Frequent Closed High-Utility Itemset Mining (FCHUIM) algorithm for retail transaction datasets using heuristic-based pruning techniques, Observed Support Ratio (OSR), Observed Weighted Lift (OWL), and ...
Kinana Syah Sulanjari, Chastine Fatichah
doaj   +1 more source

AN EFFICIENT ALGORITHM FOR MINING HIGH UTILITY ITEMSETS

Tạp chí Khoa học
High utility itemsets (HUIs) mining is the finding of itemsets that satisfy a user-defined minimum utility threshold. Many successful studies in this field have been carried out, however they are all reliant on Tidset techniques, which records the ...
Nguyen Thi Thanh Thuy*, Nguyen Van Le, Manh Thien Ly
doaj   +1 more source

RECENT ADVANCES IN UTILITY-DRIVEN PATTERN MINING [PDF]

International Journal of Intelligent Computing and Information Sciences
Knowledge discovery is a key part of Artificial Intelligence that focuses on finding valuable, hidden patterns and insights in large amounts of complex data.
Mohamed Ashraf, Eman Maghawry, Tamer Abdelkader, Rasha Ismail   +3 more
doaj   +1 more source

Survey on Utility Data mining

, 2017
Data Mining is an activity that extracts some new useful information contained in large databases. Traditional data mining methodologies focused largely on detecting the statistical correlations between the items that are more frequent in the transaction
Ganesan, M, Shankar, S
core   +1 more source

A two-phase approach to mine short-period high-utility itemsets in transactional databases

, 2017
The discovery of high-utility itemsets (HUIs) in transactional databases has attracted much interest from researchers in recent years since it can uncover hidden information that is useful for decision making, and it is widely used in many domains ...
Philippe Fournier-Viger, Zhang, Jiexiong, Zhang, Ji, Tzung-Pei Hong, Jerry Chun-Wei Lin, Lin, Jerry Chun-Wei, Hong, Tzung-Pei, Ji Zhang, Fournier-Viger, Philippe, Jiexiong Zhang   +9 more
core   +1 more source

1 A Survey on Discovering High Utility Itemset Mining from Transactional Database

, 2016
Data Mining is the process of evaluating data from different outlooks and summarizing it into useful information. It can be defined as the process that extracts information contained in very large database.
Shekhar Patel, Patel, Shekhar, B Madhushree, Madhushree, B   +3 more
core  

STUDY OF HIGH UTILITY PATTERN MINING ALGORITHMS AND COMPARISION OF D2HUP AND MAHUSP ALGORITHMS

, 2018
<p>Discovering interesting patterns and useful knowledge from massive data has become an important data mining task.  These days, we come across a lot of things that have profit technically referred as external utility, value greater than the ...
SHILPA GHODE
core   +1 more source

A New Method for Mining High Average Utility Itemsets

, 2014
Part 2: AlgorithmsInternational audienceData mining is one of exciting fields in recent years. Its purpose is to discover useful information and knowledge from large databases for business decisions and other areas.
Vo, Bay, Tien Lu, Bay Vo, Hien T. Nguyen, Tzung-Pei Hong, Lu, Tien, Nguyen, Hien, T., Hong, Tzung-Pei, Nguyen, Hien,   +8 more
core   +1 more source

A SAT-based approach for mining high utility itemsets from transaction databases

, 2020
International audienceMining high utility itemsets is a keystone in several data analysis tasks. High Utility Itemset Mining generalizes the frequent itemset mining problem by considering item quantities and weights.
Hidouri, Amel, Raddaoui, Badran, Jabbour, Said, Ben Yaghlane, Boutheina   +3 more
core   +1 more source