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ORCIDTatiana P. Makhalova
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- affiliation: National Research University Higher School of Economics, Moscow, Russia
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2020 – today
- 2024
[j5]Aleksey Buzmakov, Egor Dudyrev
, Sergei O. Kuznetsov, Tatiana Makhalova, Amedeo Napoli:
Data complexity: An FCA-based approach. Int. J. Approx. Reason. 165: 109084 (2024)- 2022
- [j4]Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Mint: MDL-based approach for Mining INTeresting Numerical Pattern Sets. Data Min. Knowl. Discov. 36(1): 108-145 (2022) - [j3]Tatiana Makhalova, Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli:
Introducing the closure structure and the GDPM algorithm for mining and understanding a tabular dataset. Int. J. Approx. Reason. 145: 75-90 (2022) - [c17]Aleksey Buzmakov, Egor Dudyrev, Sergei O. Kuznetsov, Tatiana Makhalova, Amedeo Napoli:
Experimental Study of Concise Representations of Concepts and Dependencies. CLA 2022: 117-132 - [c16]Aleksey Buzmakov, Sergei O. Kuznetsov, Tatiana Makhalova, Amedeo Napoli:
△-Closure Structure for Studying Data Distribution. ICDM 2022: 867-872 - [i7]Aleksey Buzmakov, Egor Dudyrev, Sergei O. Kuznetsov, Tatiana Makhalova, Amedeo Napoli:
Experimental Study of Concise Representations of Concepts and Dependencies. CoRR abs/2205.02464 (2022) - [i6]Aleksey Buzmakov, Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Delta-Closure Structure for Studying Data Distribution. CoRR abs/2210.06926 (2022) - 2021
- [b1]Tatiana Makhalova:
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). University of Lorraine, Nancy, France, 2021 - [j2]Tatiana Makhalova, Martin Trnecka:
From-below Boolean matrix factorization algorithm based on MDL. Adv. Data Anal. Classif. 15(1): 37-56 (2021) - [c15]Aleksey Buzmakov, Sergei O. Kuznetsov, Tatiana Makhalova, Amedeo Napoli:
Data Overview by Means of Delta-Classes of Equivalence. The Case of the Titanic Dataset. FCA4AI@IJCAI 2021: 19-26 - [c14]Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Likely-Occurring Itemsets for Pattern Mining. FCA4AI@IJCAI 2021: 39-50 - 2020
- [c13]Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Gradual Discovery with Closure Structure of a Concept Lattice. CLA 2020: 145-157 - [c12]Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Adaptive Multi-model Approaches to Pattern Set Mining. STAIRS@ECAI 2020 - [c11]Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Closure Structure: a Deeper Insight. FCA4AI@ECAI 2020: 45-56 - [i5]Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Discovery data topology with the closure structure. Theoretical and practical aspects. CoRR abs/2010.02628 (2020) - [i4]Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Mint: MDL-based approach for Mining INTeresting Numerical Pattern Sets. CoRR abs/2011.14843 (2020)
2010 – 2019
- 2019
- [c10]Tatiana P. Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Numerical Pattern Mining Through Compression. DCC 2019: 112-121 - [c9]Tatiana Makhalova, Dmitry I. Ilvovsky, Boris Galitsky:
Information Retrieval Chatbots Based on Conceptual Models. ICCS 2019: 230-238 - [c8]Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
On Coupling FCA and MDL in Pattern Mining. ICFCA 2019: 332-340 - [c7]Tatiana Makhalova, Martin Trnecka:
A Study of Boolean Matrix Factorization Under Supervised Settings. ICFCA 2019: 341-348 - [i3]Tatiana P. Makhalova, Martin Trnecka:
From-Below Boolean Matrix Factorization Algorithm Based on MDL. CoRR abs/1901.09567 (2019) - [i2]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, Elena Camossi, Valentina Anita Carriero, Shruthi Chari, David Chaves-Fraga, Fiorela Ciroku, Michael Cochez, Hubert Curien, Vincenzo Cutrona, Rahma Dandan, Danilo Dessì, Valerio Di Carlo, Ahmed El Amine Djebri, Marieke van Erp, Faiq Miftakhul Falakh, Alba Fernndez Izquierdo, Giuseppe Futia, Aldo Gangemi, Simone Gasperoni, Arnaud Grall, Lars Heling, Pierre Henri, Noura Herradi, Subhi Issa, Samaneh Jozashoori, Nyoman Juniarta, Lucie-Aimée Kaffee, Ilkcan Keles, Prashant Khare, Viktor Kovtun, Valentina Leone, Siying Li, Sven Lieber, Pasquale Lisena, Tatiana Makhalova, Ludovica Marinucci, Thomas Minier, Benjamin Moreau, Alberto Moya Loustaunau, Durgesh Nandini, Sylwia Ozdowska, Amanda Pacini de Moura, Swati Padhee, Guillermo Palma, Pedro Del Pozo Jimnez, Valentina Presutti, Roberto Reda, Ettore Rizza, Henry Rosales-Méndez, Sebastian Rudolph, Harald Sack, Luca Sciullo, Humasak Simanjuntak, Carlo Stomeo, Thiviyan Thanapalasingam, Tabea Tietz, Dalia Varanka, Maria-Esther Vidal, Michael Wolowyk, Maximilian Zocholl:
Linked Open Data Validity - A Technical Report from ISWS 2018. CoRR abs/1903.12554 (2019) - 2018
- [j1]Sergei O. Kuznetsov, Tatiana P. Makhalova:
On interestingness measures of formal concepts. Inf. Sci. 442-443: 202-219 (2018) - [c6]Tatiana P. Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
A First Study on What MDL Can Do for FCA. CLA 2018: 25-36 - [c5]Tatiana P. Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
MDL for FCA: Is There a Place for Background Knowledge? FCA4AI@IJCAI 2018: 45-56 - 2017
- [c4]Tatiana P. Makhalova, Sergei O. Kuznetsov:
On Overfitting of Classifiers Making a Lattice. ICFCA 2017: 184-197 - 2016
- [c3]Sergei O. Kuznetsov, Tatyana P. Makhalova:
On Stability of Triadic Concepts. CLA 2016: 245-253 - [i1]Sergei O. Kuznetsov, Tatyana P. Makhalova:
On interestingness measures of formal concepts. CoRR abs/1611.02646 (2016) - 2015
- [c2]Sergei O. Kuznetsov, Tatyana P. Makhalova:
Concept Interestingness Measures: a Comparative Study. CLA 2015: 59-72 - [c1]Tatyana P. Makhalova, Dmitry I. Ilvovsky, Boris A. Galitsky:
Pattern Structures for News Clustering. FCA4AI@IJCAI 2015: 35-42
Coauthor Index
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