A multi-access edge computing enabled framework for the construction of a knowledge-sharing intelligent machine tool swarm in Industry 4.0

C Zhang, G Zhou, J Li, F Chang, K Ding… - Journal of Manufacturing …, 2023 - Elsevier
Developing intelligent machine tools has been front and center for manufacturing
enterprises to take a step towards intelligent manufacturing in Industry 4.0, which has …

Protection of data privacy from vulnerability using two-fish technique with Apriori algorithm in data mining

D Dhinakaran, PMJ Prathap - The Journal of Supercomputing, 2022 - Springer
The confidential data is mainly managed by creating passwords, tokens, and unique
identifiers in an authorized manner. These records must be kept in a safe location away from …

[PDF][PDF] Machine learning based recommender system for e-commerce

M Loukili, F Messaoudi, M El Ghazi - IAES International Journal of …, 2023 - academia.edu
Nowadays, e-commerce is becoming an essential part of business for many reasons,
including the simplicity, availability, richness and diversity of products and services, flexibility …

[HTML][HTML] Research and case analysis of apriori algorithm based on mining frequent item-sets

H Xie - Open Journal of Social Sciences, 2021 - scirp.org
In the background of the information age, the importance of data resources can be imagined,
and the importance of the use of data resources means—data mining has also emerged. In …

Data mining studies in education: Literature review for the years 2014-2020

Z Bilici, D Özdemir - Bayburt eğitim fakültesi dergisi, 2022 - dergipark.org.tr
Data mining is one of the important and beneficial technological developments in education
and its usage area is becoming widespread day by day as it includes applications that …

Targeted mining of contiguous sequential patterns

K Hu, W Gan, S Huang, H Peng, P Fournier-Viger - Information Sciences, 2024 - Elsevier
In recent years, sequential pattern mining (SPM) has been applied in many domains,
including recommender systems, fraud detection, and other related industries. Target …

TaSPM: Targeted sequential pattern mining

G Huang, W Gan, PS Yu - ACM Transactions on Knowledge Discovery …, 2024 - dl.acm.org
Sequential pattern mining (SPM) is an important technique in the field of pattern mining,
which has many applications in reality. Although many efficient SPM algorithms have been …

[HTML][HTML] Digital twins and the future of precision mental health

M Spitzer, I Dattner, S Zilcha-Mano - Frontiers in Psychiatry, 2023 - frontiersin.org
Science faces challenges in developing much-needed precision mental health treatments to
accurately identify and diagnose mental health problems and the optimal treatment for each …

Assessment of city sustainability from the perspective of multi-source data-driven

Y Zhou, P Yi, W Li, C Gong - Sustainable Cities and Society, 2021 - Elsevier
From the perspective of multi-source data-driven, this paper combined the traditional
assessment data with the network data, that is, integrating the behavioral guidance ideas …

Market basket analysis using FP-growth algorithm to design marketing strategy by determining consumer purchasing patterns

JPB Saputra, SA Rahayu… - Journal of Applied Data …, 2023 - bright-journal.org
The development and competition that exists in the business world today leads every
manager or company to be more dexterous in making marketing strategies to increase …