An improved association rule mining algorithm for large data

Z Zhao, Z Jian, GS Gaba, R Alroobaea… - Journal of Intelligent …, 2021 - degruyter.com
The data with the advancement of information technology are increasing on daily basis. The
data mining technique has been applied to various fields. The complexity and execution …

Understanding customers' insights using attribution theory: A text mining and rule-based machine learning two-step multifaceted method

R Sann, PC Lai, SY Liaw - Applied Sciences, 2023 - mdpi.com
Featured Application Text Mining, Apriori Algorithm, Association Rules, Rule-based Machine
Learning Method, Web Graph Analysis, Content Analysis, Qualitative Projective Technique …

Investigating school absenteeism and refusal among Australian children and adolescents using Apriori association rule mining

UM Haque, E Kabir, R Khanam - Scientific Reports, 2024 - nature.com
Identifying and determining the multitude of reasons behind school absences of students is
often challenging. This study aims to uncover the hidden reasons for school absence in …

Educational data mining in practice literature review

K Bunkar, S Tanwani - Journal of Advanced Research in …, 2020 - thejournalshouse.com
Educational data mining (EDM) is an evolving field with a suite of computational and
psychological methods for understanding how students learn. Applying Data Mining …

[图书][B] Educational data mining with R and Rattle

RS Kamath, RK Kamat - 2022 - taylorfrancis.com
Educational Data Mining (EDM) is one of the emerging fields in the pedagogy and
andragogy paradigm, it concerns the techniques which research data coming from the …

[PDF][PDF] A hybrid recommender framework for selecting a course reference books

SSE Alqallaf, WM Medhat, TA El-Shishtawy - Journal of Theoretical and …, 2022 - jatit.org
Recommender systems are receiving great attention these days, as various researchers and
major companies are conducting continuous research in this field. Companies like Google …

A data mining based survey on student performance evaluation system

C Anuradha, T Velmurugan - 2014 IEEE International …, 2014 - ieeexplore.ieee.org
A variety of Data mining techniques are available for different kind of applications. One of the
new research communities of application involves analyzing the Students performance. This …

An Improved Apriori Algorithm for Association Rule Mining in Employability Analysis

F Peng, Y Sun, Z Chen, J Gao - Tehnički vjesnik, 2023 - hrcak.srce.hr
Sažetak The wide application of emerging advanced technologies causes significant
changes in the development trend of the employment market. The lack of flexible and easy …

Mining association rules based on deep pruning strategies

L Li, Q Li, Y Wu, Y Ou, D Chen - Wireless Personal Communications, 2018 - Springer
Today mobile network and various smart devices flourish rapidly. Data collected from the
mobile devices and network can bring us huge opportunities to understand some significant …

The Influence of COVID-19 News for Religious Activities in Lampung using Apriori Algorithm

NA Nasution, F Satria - JTKSI (Jurnal Teknologi …, 2021 - jurnal.stmikpringsewu.ac.id
Abstract The COVID-19 outbreak in 2020, which affected countries in the world, has become
a phenomenon that has shaken social life, especially customs in Indonesia. The information …