Apriori Algorithm and Hybrid Apriori Algorithm in the Data Mining: A Comprehensive Review

Y Zakur, L Flaih - E3S Web of Conferences, 2023 - e3s-conferences.org
Data mining has the potential to empower healthcare organizations by allowing them to
analyze various aspects of patient information and discover connections between seemingly …

Data Classification Algorithm Based on Association Rules from the Perspective of Data Mining

H Liu, Q Shu, H Xiong, Y Yang - 2022 International Conference …, 2022 - ieeexplore.ieee.org
Association rules (AR) are a common data classification method. It can create more value by
studying how to better mine user information and establish connections between these large …

Towards an Efficient and Secure Cache Management Using Apriori-Based Interests Prediction in Named Data Networking

CA Kerrache, G Rathee, Y Guellouma… - 2023 11th …, 2023 - ieeexplore.ieee.org
Cache management is an important component in any network and it has even more
importance in the Future Internet Architectures (FIAs) including Named Data Networking …

Application of Data Mining in the Settlement Management of Distribution Network Projects

W Chen, S Zhuang, J Lin, S Huang… - Security and …, 2022 - Wiley Online Library
With the development of intelligent technology, the distribution network has also ushered in
a new round of upgrading and transformation. New technologies, equipment, and platforms …

Cfexplainer: Explainable Just-in-Time Defect Prediction Based on Counterfactuals

F Yang, G Zeng, F Zhong, P Xiao, W Zheng… - Available at SSRN … - papers.ssrn.com
Abstract Just-in-time (JIT) defect prediction helps rationally allocate testing resources.
However, most JIT defect prediction models lack explainability, which significantly affects …