International Journal of Man-Machine Studies
Understanding search engines: mathematical modeling and text retrieval
Understanding search engines: mathematical modeling and text retrieval
Concept decompositions for large sparse text data using clustering
Machine Learning
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Intelligent Structuring and Reducing of Association Rules with Formal Concept Analysis
KI '01 Proceedings of the Joint German/Austrian Conference on AI: Advances in Artificial Intelligence
Efficient Data Mining Based on Formal Concept Analysis
DEXA '02 Proceedings of the 13th International Conference on Database and Expert Systems Applications
Complexity Reduction in Lattice-Based Information Retrieval
Information Retrieval
Text retrieval with more realistic concept matching and reinforcement learning
Information Processing and Management: an International Journal
Reduction method for concept lattices based on rough set theory and its application
Computers & Mathematics with Applications
Combining Formal Concept Analysis with Information Retrieval for Concept Location in Source Code
ICPC '07 Proceedings of the 15th IEEE International Conference on Program Comprehension
The Modern Algebra of Information Retrieval
The Modern Algebra of Information Retrieval
Expert Systems with Applications: An International Journal
Data analysis with fuzzy clustering methods
Computational Statistics & Data Analysis
Formal concept analysis in information science
Annual Review of Information Science and Technology
Using concept lattices for text retrieval and mining
Formal Concept Analysis
A new algebraic structure for formal concept analysis
Information Sciences: an International Journal
Knowledge reduction in decision formal contexts
Knowledge-Based Systems
Covering-based reduction of object-oriented concept lattices
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Knowledge discovery in data using formal concept analysis and random projections
International Journal of Applied Mathematics and Computer Science
On complexity reduction of concept lattices: three counterexamples
Information Retrieval
Formal concept analysis based on fuzzy granularity base for different granulations
Fuzzy Sets and Systems
A completeness analysis of frequent weighted concept lattices and their algebraic properties
Data & Knowledge Engineering
International Journal of Approximate Reasoning
Vague C-means clustering algorithm
Pattern Recognition Letters
Review: Formal Concept Analysis in knowledge processing: A survey on models and techniques
Expert Systems with Applications: An International Journal
On the classification of fuzzy-attributes in multi-adjoint concept lattices
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advences in computational intelligence - Volume Part II
Rule acquisition and complexity reduction in formal decision contexts
International Journal of Approximate Reasoning
| Hi-index | 12.05 |
During the design of concept lattices, complexity plays a major role in computing all the concepts from the huge incidence matrix. Hence for reducing the size of the lattice, methods based on matrix decompositions like SVD are available in the literature. However, SVD computation is known to have large time and memory requirements. In this paper, we propose a new method based on Fuzzy K-Means clustering for reducing the size of the concept lattices. We demonstrate the implementation of proposed method on two application areas: information retrieval and information visualization.