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 …
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
Featured Application Text Mining, Apriori Algorithm, Association Rules, Rule-based Machine
Learning Method, Web Graph Analysis, Content Analysis, Qualitative Projective Technique …
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
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 …
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 …
psychological methods for understanding how students learn. Applying Data Mining …
[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 …
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 …
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 …
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 …
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 …
a phenomenon that has shaken social life, especially customs in Indonesia. The information …