Concept Interestingness Measures: a Comparative Study. - Sergei O. Kuznetsov; Tatyana P. Makhalova (CLA, 2015)

Pattern Structures for News Clustering. - Tatyana P. Makhalova; Dmitry Ilvovsky; Boris A. Galitsky (FCA4AI@IJCAI, 2015)

On Stability of Triadic Concepts. - Sergei O. Kuznetsov; Tatyana P. Makhalova (CLA, 2016)

On Overfitting of Classifiers Making a Lattice. - Tatiana P. Makhalova; Sergei O. Kuznetsov (ICFCA, 2017)

A First Study on What MDL Can Do for FCA. - Tatiana P. Makhalova; Sergei O. Kuznetsov; Amedeo Napoli (CLA, 2018)

MDL for FCA: Is There a Place for Background Knowledge? - Tatiana P. Makhalova; Sergei O. Kuznetsov; Amedeo Napoli (FCA4AI@IJCAI, 2018)

On interestingness measures of formal concepts. - Sergei O. Kuznetsov; Tatiana P. Makhalova (Inf. Sci., 2018)

Numerical Pattern Mining Through Compression. - Tatiana P. Makhalova; Sergei O. Kuznetsov; Amedeo Napoli (DCC, 2019)

Information Retrieval Chatbots Based on Conceptual Models. - Tatiana Makhalova; Dmitry Ilvovsky; Boris Galitsky (ICCS, 2019)

On Coupling FCA and MDL in Pattern Mining. - Tatiana Makhalova; Sergei O. Kuznetsov; Amedeo Napoli (ICFCA, 2019)

A Study of Boolean Matrix Factorization Under Supervised Settings. - Tatiana Makhalova; Martin Trnecka (ICFCA, 2019)

Linked Open Data Validity - A Technical Report from ISWS 2018. - Tayeb Abderrahmani Ghor; Esha Agrawal; Mehwish Alam; Omar Alqawasmeh; Claudia d'Amato; Amina Annane; Amr Azzam; Andrew Berezovskyi; Russa Biswas; Mathias Bonduel; Quentin Brabant; Cristina-Iulia Bucur; et al. (CoRR, 2019)

Gradual Discovery with Closure Structure of a Concept Lattice. - Tatiana Makhalova; Sergei O. Kuznetsov; Amedeo Napoli (CLA, 2020)

Adaptive Multi-model Approaches to Pattern Set Mining. - Tatiana Makhalova; Sergei O. Kuznetsov; Amedeo Napoli (STAIRS@ECAI, 2020)

Closure Structure: a Deeper Insight. - Tatiana Makhalova; Sergei O. Kuznetsov; Amedeo Napoli (FCA4AI@ECAI, 2020)

Discovery data topology with the closure structure. Theoretical and practical aspects. - Tatiana Makhalova; Sergei O. Kuznetsov; Amedeo Napoli (CoRR, 2020)

Data Overview by Means of Delta-Classes of Equivalence. The Case of the Titanic Dataset. - Aleksey Buzmakov 002; Sergei O. Kuznetsov; Tatiana Makhalova; Amedeo Napoli (FCA4AI@IJCAI, 2021)

Likely-Occurring Itemsets for Pattern Mining. - Tatiana Makhalova; Sergei O. Kuznetsov; Amedeo Napoli (FCA4AI@IJCAI, 2021)

From-below Boolean matrix factorization algorithm based on MDL. - Tatiana Makhalova; Martin Trnecka (Adv. Data Anal. Classif., 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). - Tatiana Makhalova (2021)

Experimental Study of Concise Representations of Concepts and Dependencies. - Aleksey Buzmakov 002; Egor Dudyrev; Sergei O. Kuznetsov; Tatiana Makhalova; Amedeo Napoli (CLA, 2022)

△-Closure Structure for Studying Data Distribution. - Aleksey Buzmakov 002; Sergei O. Kuznetsov; Tatiana Makhalova; Amedeo Napoli (ICDM, 2022)

Delta-Closure Structure for Studying Data Distribution. - Aleksey Buzmakov 002; Tatiana Makhalova; Sergei O. Kuznetsov; Amedeo Napoli (CoRR, 2022)

Mint: MDL-based approach for Mining INTeresting Numerical Pattern Sets. - Tatiana Makhalova; Sergei O. Kuznetsov; Amedeo Napoli (Data Min. Knowl. Discov., 2022)

Introducing the closure structure and the GDPM algorithm for mining and understanding a tabular dataset. - Tatiana Makhalova; Aleksey Buzmakov 002; Sergei O. Kuznetsov; Amedeo Napoli (Int. J. Approx. Reason., 2022)

Data complexity: An FCA-based approach. - Aleksey Buzmakov 002; Egor Dudyrev; Sergei O. Kuznetsov; Tatiana Makhalova; Amedeo Napoli (Int. J. Approx. Reason., 2024)