Tatiana P. Makhalova

Orcid: 0000-0002-6724-3803

Affiliations:
  • National Research University Higher School of Economics, Moscow, Russia


According to our database1, Tatiana P. Makhalova authored at least 26 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Data complexity: An FCA-based approach.
Int. J. Approx. Reason., February, 2024

2022
Introducing the closure structure and the GDPM algorithm for mining and understanding a tabular dataset.
Int. J. Approx. Reason., 2022

Mint: MDL-based approach for Mining INTeresting Numerical Pattern Sets.
Data Min. Knowl. Discov., 2022

Delta-Closure Structure for Studying Data Distribution.
CoRR, 2022

△-Closure Structure for Studying Data Distribution.
Proceedings of the IEEE International Conference on Data Mining, 2022

Experimental Study of Concise Representations of Concepts and Dependencies.
Proceedings of the Sixteenth International Conference on Concept Lattices and Their Applications (CLA 2022) Tallinn, 2022

2021
Contributions to pattern set mining: from complex datasets to significant and useful pattern sets. (Contributions à la fouille d'ensembles de motifs: des données complexes à des ensembles de motifs signifiants et réutilisables).
PhD thesis, 2021

From-below Boolean matrix factorization algorithm based on MDL.
Adv. Data Anal. Classif., 2021

Likely-Occurring Itemsets for Pattern Mining.
Proceedings of the 9th International Workshop "What can FCA do for Artificial Intelligence?" co-located with the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021), 2021

Data Overview by Means of Delta-Classes of Equivalence. The Case of the Titanic Dataset.
Proceedings of the 9th International Workshop "What can FCA do for Artificial Intelligence?" co-located with the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021), 2021

2020
Discovery data topology with the closure structure. Theoretical and practical aspects.
CoRR, 2020

Closure Structure: a Deeper Insight.
Proceedings of the 8th International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI 2020) co-located with 24th European Conference on Artificial Intelligence (ECAI 2020), 2020

Adaptive Multi-model Approaches to Pattern Set Mining.
Proceedings of the 9th European Starting AI Researchers' Symposium 2020 co-located with 24th European Conference on Artificial Intelligence (ECAI 2020), 2020

Gradual Discovery with Closure Structure of a Concept Lattice.
Proceedings of the Fifthteenth International Conference on Concept Lattices and Their Applications, 2020

2019
Linked Open Data Validity - A Technical Report from ISWS 2018.
CoRR, 2019

A Study of Boolean Matrix Factorization Under Supervised Settings.
Proceedings of the Formal Concept Analysis - 15th International Conference, 2019

On Coupling FCA and MDL in Pattern Mining.
Proceedings of the Formal Concept Analysis - 15th International Conference, 2019

Information Retrieval Chatbots Based on Conceptual Models.
Proceedings of the Graph-Based Representation and Reasoning, 2019

Numerical Pattern Mining Through Compression.
Proceedings of the Data Compression Conference, 2019

2018
On interestingness measures of formal concepts.
Inf. Sci., 2018

MDL for FCA: Is There a Place for Background Knowledge?
Proceedings of the 6th International Workshop "What can FCA do for Artificial Intelligence"? co-located with International Joint Conference on Artificial Intelligence and European Conference on Artificial Intelligence (IJCAI/ECAI 2018), 2018

A First Study on What MDL Can Do for FCA.
Proceedings of the Fourteenth International Conference on Concept Lattices and Their Applications, 2018

2017
On Overfitting of Classifiers Making a Lattice.
Proceedings of the Formal Concept Analysis - 14th International Conference, 2017

2016
On Stability of Triadic Concepts.
Proceedings of the Thirteenth International Conference on Concept Lattices and Their Applications, 2016

2015
Pattern Structures for News Clustering.
Proceedings of the 4th International Workshop "What can FCA do for Artificial Intelligence?", 2015

Concept Interestingness Measures: a Comparative Study.
Proceedings of the Twelfth International Conference on Concept Lattices and Their Applications, 2015


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