Results 41 to 50 of about 15,313,957 (171)

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

FINDING HIGH UTILITY ITEMSETS OVER DYNAMIC TRANSACTIONAL DATABASE USING UP-GROWTH AND UP-GROWTH+ ALGORITHM [PDF]

, 2021
Mining high utility itemsets is an important research area in data mining. Finding itemsets with high utility like profit from database is known as high utility itemset mining.
Mr. Siddheshwar V. Patil, Ms.Pallavi S.Kadam, Ms. Anita A. Bhosale   +2 more
core   +2 more sources

Mining High Utility Itemsets Based on Pattern Growth without Candidate Generation

Mathematics, 2020
Mining high utility itemsets (HUIs) has been an active research topic in data mining in recent years. Existing HUI mining algorithms typically take two steps: generating candidates and identifying utility values of these candidate itemsets.
Yiwei Liu, Le Wang, Lin Feng, Bo Jin
doaj   +1 more source

Consumer Behavior Analysis in Digital Marketing Using AI and Big Data Analytics: A Narrative Review and Methodological Taxonomy

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
AI and Big Data in Consumer Behavior Analysis. ABSTRACT The rapid expansion of digital consumer data has challenged traditional approaches to understanding behavior in digital marketing. Existing reviews often focus on individual methods and give limited guidance on how analytical techniques compare or how they should be selected for specific marketing
Leonidas Theodorakopoulos, Alexandra Theodoropoulou   +1 more
wiley   +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

A Fuzzy Algorithm for Mining High Utility Rare Itemsets -FHURI

, 2014
Classical frequent itemset mining identifies frequent itemsets in transaction databases using only frequency of item occurrences, without considering utility of items.
Pillai, Jyothi, Uk, Vyas, O P, Muyeba, M Ac, Muyeba, Maybin K   +4 more
core   +2 more sources

A Robust Technique for Closed Frequent and High Utility Itemsets Mining: Closed-FHUIM

IEEE Access
Frequent itemset mining (FIM) and high utility itemset mining (HUIM) are popular data mining techniques used in various real-world applications such as retail-market, bio-medicine, and click-stream analysis.
Muhammad Waheed Ashraf, M. Asif Naeem, Heejeong Jasmine Lee   +2 more
doaj   +1 more source

EHAUPM: Efficient High Average-Utility Pattern Mining With Tighter Upper Bounds

IEEE Access, 2017
High-utility itemset mining (HUIM) has become a popular data mining task, as it can reveal patterns that have a high-utility, contrarily to frequent pattern mining, which focuses on discovering frequent patterns.
Jerry Chun-Wei Lin, Shifeng Ren, Philippe Fournier-Viger, Tzung-Pei Hong   +3 more
doaj   +1 more source

Polypharmacy burden and incident epilepsy among older adults in the United States

Epilepsia Open, Volume 11, Issue 4, Page 1370-1381, August 2026.
Abstract Objectives To estimate the prevalence of polypharmacy among older adults with incident epilepsy and to describe the most common combinations of drug classes filled prior to epilepsy diagnosis. Polypharmacy—the concurrent use of multiple medications—is common in older adults with epilepsy, but little is known about its burden and specific ...
Galen Shearn‐Nance, Long Vu, Hannah L. Fein, Wyatt P. Bensken, Jorden G. Rieke, Martha Sajatovic, Gena Ghearing, David F. Warner, Siran M. Koroukian, Nicholas K. Schiltz   +9 more
wiley   +1 more source

An Evolutionary Algorithm to Mine High-Utility Itemsets

Advances in Electrical and Electronic Engineering, 2015
High-utility itemset mining (HUIM) is a critical issue in recent years since it can be used to reveal the profitable products by considering both the quantity and profit factors instead of frequent itemset mining (FIM) of association rules (ARs). In this
Jerry Chun-Wei Lin, Lu Yang, Philippe Fournier-Viger, Jaroslav Frnda, Lukas Sevcik, Miroslav Voznak   +5 more
doaj   +1 more source