A Formal Fuzzy Concept-Based Approach for Association Rule Discovery with Optimized Time and Storage

A Formal Fuzzy Concept-Based Approach for Association Rule Discovery with Optimized Time and Storage

Association Rule Mining (ARM) relies on concept lattices as an effective knowledge representation structure. However, classical ARM methods face significant limitations, including the generation of misleading rules during data-to-formal-context mapping and poor handling of heterogeneous data types s...

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Bibliographic Details
Main Authors: Gamal F. Elhady, Haitham Elwahsh, Maazen Alsabaan, Mohamed I. Ibrahem, Ebtesam Shemis
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Mathematics
Subjects:
concept lattices
knowledge representation
association rule mining
formal fuzzy concepts
heterogeneous data
fuzzy iceberg lattice
Online Access:https://www.mdpi.com/2227-7390/12/22/3590
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