Results 71 to 80 of about 2,307,372 (214)

An Association Rule Mining Scheme Based on Bit Operation and Reverse Index

open access: yesDianxin kexue, 2015
An improved Apriori algorithm for association rule mining called Apriori-BR was proposed,which was based on bit operation and reverse index.Specifically,the reverse index from frequent itemsets to transactions was constructed firstly by scanning twice of
Yulei Huang, Xiaoxia Luo, Qing Lin
doaj   +2 more sources

Association Between Glucagon‐Like Peptide‐1 Receptor Agonists and Suicidality: A Systematic Review

open access: yesDiabetes, Obesity and Metabolism, Volume 28, Issue 8, Page 6482-6508, August 2026.
ABSTRACT Aims We aimed to examine the association between GLP‐1 RA use and suicidal ideation or behaviours through a systematic review of observational studies. Materials and Methods A comprehensive search of MEDLINE, PubMed, EMBASE, CINAHL and PsycINFO was conducted from database inception through December 11, 2025. Observational studies investigating
Timothy H. Chan   +5 more
wiley   +1 more source

Symbolic Data Mining in Databases Using the Apriori Algorithm

open access: yes, 2013
This thesis discusses symbolic data mining, its concepts and uses in the discovery of knowledge hidden in large datasets. Data mining is a multidisciplinary field, drawing work from areas including database technology, machine learning, statistics ...
Imouokhome, Eseohen
core  

Analyzing Data Using Apriori Algorithm

open access: yes, 2021
The Work On Business Intelligence an its Tools is One Of The Motivational an improvement that exploit the available data to generate information and useful knowledge for complex decision-making processes.
SLIMANE KADI, CHEYMA   +1 more
core  

Diverse Microbial Communities Assemble on Both Recalcitrant and Labile Carbon Sources

open access: yesEnvironmental Microbiology, Volume 28, Issue 7, July 2026.
Taxonomically and functionally distinct communities assemble on cellulose and its monomer, glucose. Although single carbon sources were provided, high and comparable diversity was maintained in both environments, supported by extensive cross‐feeding and scavenging. However, glucose supported higher biomass than cellulose and selected generalists, while
Kaumudi H. Prabhakara   +4 more
wiley   +1 more source

Categorization and regression algorithm based on the quantitative association rule tree

open access: yes工程科学学报, 2016
To solve the problem of the low efficiency and accuracy of numerical data mining based on the Apriori categorization association rule algorithm,this article introduces a categorization and regression algorithm based on the quantitative association rule ...
WANG Ling, LI Shu-lin, WU Lu-lu
doaj   +1 more source

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

Apriori algorithm on Marine Fisheries Biological Data [PDF]

open access: yes, 2013
- Data Mining (DM) is the process of analysing data from different vista and gives summary on specific determination. Association rules are rules describing the associations or correlations to bring out the hidden pattern among attributes in data sets ...
Pugazhendi, D
core   +1 more source

Implementasi data mining untuk menentukan strategi penjualan buku bekas dengan pola pembelian konsumen menggunakan metode apriori

open access: yesTeknika, 2020
Proses jual beli yang ada pada toko buku bekas memiliki kendala, yaitu penyimpanan data penjualan masih secara tertulis. Hal itu berakibat pada sulitnya menemukan buku yang diinginkan karena penyusunan buku belum rapi.
Ira Zulfa   +2 more
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

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