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Formal Concept Analysis [2021]

1
Formal Concept Analysis and Extensions for Complex Data Analytics
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Representing Partition Lattices Through FCA
2
Conceptual Navigation in Large Knowledge Graphs
2
Fixed-Point Semantics for Barebone Relational Concept Analysis
3
Boolean Substructures in Formal Concept Analysis
3
FCA2VEC: Embedding Techniques for Formal Concept Analysis
4
Enumerating Maximal Consistent Closed Sets in Closure Systems
4
Analysis of Complex and Heterogeneous Data Using FCA and Monadic Predicates
5
A New Kind of Implication to Reason with Unknown Information
5
Dealing with Large Volumes of Complex Relational Data Using RCA
6
Pruning Techniques in LinCbO for Computation of the Duquenne-Guigues Basis
6
Computing Dependencies Using FCA
7
Approximate Computation of Exact Association Rules
7
Leveraging Closed Patterns and Formal Concept Analysis for Enhanced Microblogs Retrieval
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An Incremental Recomputation of From-Below Boolean Matrix Factorization
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Scalable Visual Analytics in FCA
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Clustering and Identification of Core Implications
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Formal Methods in FCA and Big Data
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Extracting Relations in Texts with Concepts of Neighbours
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Towards Distributivity in FCA for Phylogenetic Data
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Triadic Exploration and Exploration with Multiple Experts
11
Triclustering in Big Data Setting
12
Towards Interactive Transition from AOC Poset to Concept Lattice
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Visualization of Statistical Information in Concept Lattice Diagrams
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Force-Directed Layout of Order Diagrams Using Dimensional Reduction
15
Sandwich: An Algorithm for Discovering Relevant Link Keys in an LKPS Concept Lattice
16
Decision Concept Lattice vs. Decision Trees and Random Forests
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Exploring Scale-Measures of Data Sets
18
Filters, Ideals and Congruences on Double Boolean Algebras
19
Diagrammatic Representation of Conceptual Structures
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