Results 51 to 60 of about 15,306 (225)

When the Group Agrees: Explaining Collective Recommendations From Core to Consensus

open access: yesExpert Systems, Volume 43, Issue 7, July 2026.
ABSTRACT Finding an appropriate explanation for generated recommendations has become vital for increasing trustworthiness in current recommender systems (RSs). While the generation of explanations for recommendations aimed at individuals has recently received further study, explanations for group recommender systems (GRSs) scenarios remain inadequate ...
Raciel Yera   +1 more
wiley   +1 more source

Pengembangan Sistem Rekomendasi Penelusuran Buku dengan Penggalian Association Rule Menggunakan Algoritma Apriori (Studi Kasus Badan Perpustakaan dan Kearsipan Provinsi Jawa Timur)

open access: yesJurnal Teknik ITS, 2012
Bapersip Provinsi Jawa Timur merupakan Badan Pemerintahan yang bertugas untuk melaksanakan penyusunan dan pelaksanaan kebijakan Daerah yang bersifat spesifik yaitu dibidang perpustakaan dan kearsipan.
Nugroho Wandi   +2 more
doaj  

Apriori-Based Association Rule Mining Approach for Developing a Product Recommendation System in an Agricultural E-Marketplace

open access: yesJurnal Sisfokom
The rapid growth of transactions in Indonesian agricultural marketplaces leaves a gap between large data volumes and suboptimal marketing strategies.
Handika Attha Maulana, Arif Nur Rohman
doaj   +1 more source

Predicting Post‐Radiotherapy Epigenetic Age Acceleration From Pre‐Treatment Data Using a Machine Learning Framework in Head and Neck Cancer Patients

open access: yesCancer Medicine, Volume 15, Issue 6, June 2026.
ABSTRACT Background Epigenetic age acceleration in head and neck cancer (HNC) patients undergoing radiotherapy has been linked to adverse treatment outcomes. Understanding a patient's likely epigenetic aging response prior to radiotherapy has the potential to inform healthcare planning and clinical decision‐making; however, current methods cannot ...
Runze Yan   +9 more
wiley   +1 more source

Recursive Queried Frequent Patterns Algorithm: Determining Frequent Pattern Sets from Database

open access: yesInformation
Frequent pattern mining is a fundamental method for Data Mining, applicable in market basket analysis, recommendation systems, and academic analytics. Widely adopted and foundational algorithms such as Apriori and FP-Growth, which represent the standard ...
Ishtiyaq Ahmad Khan   +3 more
doaj   +1 more source

Species Accumulation Stabilizes the Synchronous Responses to the Environment of Vertebrate Communities Worldwide

open access: yesEcology and Evolution, Volume 16, Issue 6, June 2026.
How species number, synchrony, species life strategies, and environmental conditions interact and contribute to community stability is still unclear. We compiled a worldwide dataset of time series from 124 natural communities of terrestrial vertebrates and found that, while they tend to be mostly synchronous, species accumulation helped to maintain ...
Sergio Picó, Pablo Almaraz, Oscar Godoy
wiley   +1 more source

Rekomendasi Artikel Menggunakan Algoritma Apriori Pada Website

open access: yes, 2019
. Website is a group of sites which shows many kinds of interesting and benificial article to visitors. Art7wing is one of the website focuses on technology information and entertainment which only shows published article.
Rahadika, Ivan Yusuf   +2 more
core   +1 more source

Comparison of Apriori and FP-Growth Algorithms in Market Basket Analysis for Online Book Sales

open access: yesJournal of Applied Informatics and Computing
This research aims to compare the performance of the Apriori and FP-Growth algorithms in the process of data mining association patterns in the online sales transaction data of a bookstore.
Sofia Rizkal Karimah   +1 more
doaj   +1 more source

Recommender Systems: Taxonomy, Applications and Current Research Trends

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.
Integrating taxonomy, application developments, open‐source software, and publication trends, this paper identifies and outlines promising future directions for recommender systems research. ABSTRACT Recommender Systems play an essential role in assisting users to navigate the immense amount of information and services available online, aiding them in ...
Daniel Ranchal‐Parrado   +2 more
wiley   +1 more source

Finding Sporadic Rules Using Apriori-Inverse

open access: yes, 2005
We define sporadic rules as those with low support but high confidence: for example, a rare association of two symptoms indicating a rare disease.
Nathan Rountree   +3 more
core   +1 more source

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