A comprehensive review on updating concept lattices and its application in updating association rules
Formal concept analysis (FCA) visualizes formal concepts in terms of a concept lattice.
Usually, it is an NP‐problem and consumes plenty of time and storage space to update the …
Usually, it is an NP‐problem and consumes plenty of time and storage space to update the …
[HTML][HTML] 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 …
representation structure. However, classical ARM methods face significant limitations …
Efficient Parallel Algorithm for Extracting Fuzzy-Crisp Formal Concepts.
Abstract Fuzzy Formal Concept Analysis (FFCA) is a robust mathematical tool for analyzing
data, particularly where uncertainty or fuzziness is inherent. FFCA is utilized across various …
data, particularly where uncertainty or fuzziness is inherent. FFCA is utilized across various …
A Fuzzy-Crisp Frequent Concept Lattice Generation Algorithm
Formal concept analysis presents a powerful mathematical tool for association rule
generation. The iceberg lattice represents a frequent concept lattice that shows only frequent …
generation. The iceberg lattice represents a frequent concept lattice that shows only frequent …