Categorical Data Clustering: A Bibliometric Analysis and Taxonomy
M Cendana, RJ Kuo - Machine Learning and Knowledge Extraction, 2024 - mdpi.com
Numerous real-world applications apply categorical data clustering to find hidden patterns in
the data. The K-modes-based algorithm is a popular algorithm for solving common issues in …
the data. The K-modes-based algorithm is a popular algorithm for solving common issues in …
Rough set based information theoretic approach for clustering uncertain categorical data
Motivation Many real applications such as businesses and health generate large categorical
datasets with uncertainty. A fundamental task is to efficiently discover hidden and non-trivial …
datasets with uncertainty. A fundamental task is to efficiently discover hidden and non-trivial …
Supplier Management Decision Support System Under Data Mining Algorithms
C Kun, H Zehua, L Rui'an, W Xuejun… - 2024 IEEE 3rd …, 2024 - ieeexplore.ieee.org
This article proposed a supplier management decision support system based on data
mining algorithms, aiming to help enterprises select the best supplier to improve …
mining algorithms, aiming to help enterprises select the best supplier to improve …