Results 41 to 50 of about 6,703 (218)

Positive and negative association rule mining in Hadoop’s MapReduce environment

open access: yesJournal of Big Data, 2019
In this paper, we present a Hadoop implementation of the Apriori algorithm. Using Hadoop’s distributed and parallel MapReduce environment, we present an architecture to mine positive as well as negative association rules in big data using frequent ...
Sikha Bagui, Probal Chandra Dhar
doaj   +1 more source

Measuring Positive and Negative Association of Apriori Algorithm with Cosine Correlation Analysis

open access: yesمجلة بغداد للعلوم, 2021
This work aims to see the positive association rules and negative association rules in the Apriori algorithm by using cosine correlation analysis.
Dewi Wisnu Wardani
doaj   +1 more source

On Parallelization of the NIS-apriori Algorithm for Data Mining

open access: yes, 2015
We have been developing the getRNIA software tool for data mining under uncertain information. The getRNIA software tool is powered by the NIS-Apriori algorithm, which is a variation of the well-known Apriori algorithm.
19786   +7 more
core   +2 more sources

Democratising Multi‐Projector Displays

open access: yesComputer Graphics Forum, EarlyView.
Spatially augmented reality (SAR) transforms large, surround, collaborative experiences out of VR/AR headsets to the real world by merging content from projectors with the physical environment. This detailed state‐of‐the‐art survey reports on the advancements in multi‐projector aggregation and hardware technologies used to achieve SAR and build ...
Aditi Majumder, Muhammad Twaha Ibrahim
wiley   +1 more source

Concordance-analysis and evaluation of different diagnostic algorithms used in first trimester screening for late-onset preeclampsia

open access: yesHypertension in Pregnancy, 2020
Objective Concordance-analysis and evaluation of existing algorithms detecting late-onset preeclampsia during first trimester screening Methods Retrospective cohort study investigating risk algorithms of late-onset preeclampsia during first trimester ...
Sabrina Schaller   +3 more
doaj   +1 more source

Hierarchical Optimization of the As‐Rigid‐As‐Possible Energy

open access: yesComputer Graphics Forum, EarlyView.
Abstract The As‐Rigid‐As‐Possible (ARAP) energy [SA07] has become a versatile ingredient in various geometry processing and machine learning methods. The classic method for its minimization is a block coordinate descent, alternating between local rotation estimation and a global linear solve, which converges slowly for large problem instances.
Hendrik Meyer, Bernd Bickel, Marc Alexa
wiley   +1 more source

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

open access: yesDiabetes, Obesity and Metabolism, EarlyView.
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

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

Improvement of Apriori Algorithm Based on Boolean Matrix

open access: yes, 2010
This paper introduces the association rules and Apriori algorithm in data mining, considering the disadvantages of Apriori algorithm, a new improved Apriori algorithm based on Boolean matrix is proposed .It scans transaction database only one time, thus ...
Yan Guang Shen, Bin Li Wang
core   +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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