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2020 – today
- 2022
[j38]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)- [j37]Tatiana Makhalova, Aleksey V. 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) - [c101]Aleksey Buzmakov, Egor Dudyrev, Sergei O. Kuznetsov, Tatiana Makhalova, Amedeo Napoli:
Experimental Study of Concise Representations of Concepts and Dependencies. CLA 2022: 117-132 - [c100]Aleksey Buzmakov, Sergei O. Kuznetsov, Tatiana Makhalova, Amedeo Napoli:
△-Closure Structure for Studying Data Distribution. ICDM 2022: 867-872 - [c99]Eric George Parakal, Sergei O. Kuznetsov:
Intrinsically Interpretable Document Classification via Concept Lattices. FCA4AI@IJCAI 2022: 9-22 - [c98]Egor Dudyrev, Sergei O. Kuznetsov:
Towards Fast Finding Optimal Short Classifiers. FCA4AI@IJCAI 2022: 23-34 - [c97]Abdulrahim Ghazal, Sergei O. Kuznetsov:
Lazy Classification of Underground Forums Messages Using Pattern Structures. FCA4AI@IJCAI 2022: 63-74 - [e35]Evgeny Burnaev, Dmitry I. Ignatov, Sergei Ivanov, Michael Yu. Khachay, Olessia Koltsova, Andrei Kutuzov, Sergei O. Kuznetsov, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Jari Saramäki, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina:
Recent Trends in Analysis of Images, Social Networks and Texts - 10th International Conference, AIST 2021, Tbilisi, Georgia, December 16-18, 2021, Revised Supplementary Proceedings. Communications in Computer and Information Science 1573, Springer 2022, ISBN 978-3-031-15167-5 [contents] - [e34]Evgeny Burnaev, Dmitry I. Ignatov, Sergei Ivanov, Michael Yu. Khachay, Olessia Koltsova, Andrei Kutuzov, Sergei O. Kuznetsov, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Jari Saramäki, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina:
Analysis of Images, Social Networks and Texts - 10th International Conference, AIST 2021, Tbilisi, Georgia, December 16-18, 2021, Revised Selected Papers. Lecture Notes in Computer Science 13217, Springer 2022, ISBN 978-3-031-16499-6 [contents] - [e33]Sergei O. Kuznetsov, Amedeo Napoli, Sebastian Rudolph:
Proceedings of the 10th International Workshop "What can FCA do for Artificial Intelligence?" co-located with the 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022), Vienna, Austria, July 23, 2022. CEUR Workshop Proceedings 3233, CEUR-WS.org 2022 [contents] - [i21]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) - [i20]Aleksey Buzmakov, Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Delta-Closure Structure for Studying Data Distribution. CoRR abs/2210.06926 (2022) - 2021
- [c96]Egor Dudyrev, Sergei O. Kuznetsov:
Decision Concept Lattice vs. Decision Trees and Random Forests. ICFCA 2021: 252-260 - [c95]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 - [c94]Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Likely-Occurring Itemsets for Pattern Mining. FCA4AI@IJCAI 2021: 39-50 - [c93]Egor Dudyrev, Sergei O. Kuznetsov:
Summation of Decision Trees. FCA4AI@IJCAI 2021: 99-104 - [c92]Illya Semenkov, Sergei O. Kuznetsov:
Ensemble Techniques for Lazy Classication Based on Pattern Structures. FCA4AI@IJCAI 2021: 105-112 - [e32]Wil M. P. van der Aalst, Vladimir Batagelj, Alexey Buzmakov, Dmitry I. Ignatov, Anna A. Kalenkova, Michael Yu. Khachay, Olessia Koltsova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Ilya Makarov, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina:
Recent Trends in Analysis of Images, Social Networks and Texts - 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15-16, 2020 Revised Supplementary Proceedings. Communications in Computer and Information Science 1357, Springer 2021, ISBN 978-3-030-71213-6 [contents] - [e31]Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Yu. Khachay, Olessia Koltsova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina:
Analysis of Images, Social Networks and Texts - 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15-16, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12602, Springer 2021, ISBN 978-3-030-72609-6 [contents] - [e30]Sergei O. Kuznetsov, Amedeo Napoli, Sebastian Rudolph:
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), Montréal, Québec, Canada, August 21, 2021. CEUR Workshop Proceedings 2972, CEUR-WS.org 2021 [contents] - [e29]Sergei M. Kovalev, Sergei O. Kuznetsov, Aleksandr I. Panov:
Artificial Intelligence - 19th Russian Conference, RCAI 2021, Taganrog, Russia, October 11-16, 2021, Proceedings. Lecture Notes in Computer Science 12948, Springer 2021, ISBN 978-3-030-86854-3 [contents] - [i19]Egor Dudyrev, Sergei O. Kuznetsov:
Decision Concept Lattice vs. Decision Trees and Random Forests. CoRR abs/2106.00387 (2021) - 2020
- [j36]Marianne Huchard, Sergei O. Kuznetsov:
Preface to Special Issue on Concept Lattices and Their Applications 2016. Discret. Appl. Math. 273: 1 (2020) - [j35]Aimene Belfodil, Sergei O. Kuznetsov, Mehdi Kaytoue:
On pattern setups and pattern multistructures. Int. J. Gen. Syst. 49(8): 785-818 (2020) - [j34]Christophe Demko, Karell Bertet, Cyril Faucher, Jean-François Viaud, Sergei O. Kuznetsov:
NextPriorityConcept: A new and generic algorithm computing concepts from complex and heterogeneous data. Theor. Comput. Sci. 845: 1-20 (2020) - [c91]Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Gradual Discovery with Closure Structure of a Concept Lattice. CLA 2020: 145-157 - [c90]Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Adaptive Multi-model Approaches to Pattern Set Mining. STAIRS@ECAI 2020 - [c89]Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Closure Structure: a Deeper Insight. FCA4AI@ECAI 2020: 45-56 - [e28]Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Yu. Khachay, Valentina Kuskova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina:
Analysis of Images, Social Networks and Texts - 8th International Conference, AIST 2019, Kazan, Russia, July 17-19, 2019, Revised Selected Papers. Communications in Computer and Information Science 1086, Springer 2020, ISBN 978-3-030-39574-2 [contents] - [e27]Sergei O. Kuznetsov, Amedeo Napoli, Sebastian Rudolph:
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), Santiago de Compostela, Spain, August 29, 2020. CEUR Workshop Proceedings 2729, CEUR-WS.org 2020 [contents] - [e26]Sergei O. Kuznetsov, Amedeo Napoli, Sebastian Rudolph:
Proceedings of the 7th International Workshop "What can FCA do for Artificial Intelligence"? co-located with International Joint Conference on Artificial Intelligence, FCA4AI@IJCAI 2019, Macao, China, August 10, 2019. CEUR Workshop Proceedings 2529, CEUR-WS.org 2020 [contents] - [e25]Sergei O. Kuznetsov, Aleksandr I. Panov, Konstantin S. Yakovlev:
Artificial Intelligence - 18th Russian Conference, RCAI 2020, Moscow, Russia, October 10-16, 2020, Proceedings. Lecture Notes in Computer Science 12412, Springer 2020, ISBN 978-3-030-59534-0 [contents] - [i18]Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Discovery data topology with the closure structure. Theoretical and practical aspects. CoRR abs/2010.02628 (2020) - [i17]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
- [c88]Tatiana P. Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Numerical Pattern Mining Through Compression. DCC 2019: 112-121 - [c87]Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
On Coupling FCA and MDL in Pattern Mining. ICFCA 2019: 332-340 - [c86]Elizaveta F. Goncharova, Sergei O. Kuznetsov:
Increasing the Efficiency of Packet Classifiers with Closed Descriptions. FCA4AI@IJCAI 2019: 75-86 - [e24]Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Yu. Khachay, Valentina Kuskova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina:
Analysis of Images, Social Networks and Texts - 8th International Conference, AIST 2019, Kazan, Russia, July 17-19, 2019, Revised Selected Papers. Lecture Notes in Computer Science 11832, Springer 2019, ISBN 978-3-030-37333-7 [contents] - [i16]Aimene Belfodil, Sergei O. Kuznetsov, Mehdi Kaytoue:
On Pattern Setups and Pattern Multistructures. CoRR abs/1906.02963 (2019) - [i15]Sergei O. Kuznetsov:
Ordered Sets for Data Analysis. CoRR abs/1908.11341 (2019) - [i14]Christophe Demko, Karell Bertet, Cyril Faucher, Jean-François Viaud, Sergei O. Kuznetsov:
Next Priority Concept: A new and generic algorithm computing concepts from complex and heterogeneous data. CoRR abs/1912.11038 (2019) - 2018
- [j33]Sergei O. Kuznetsov, Tatiana P. Makhalova:
On interestingness measures of formal concepts. Inf. Sci. 442-443: 202-219 (2018) - [j32]Boris A. Galitsky, Dmitry I. Ilvovsky, Sergey O. Kuznetsov:
Detecting logical argumentation in text via communicative discourse tree. J. Exp. Theor. Artif. Intell. 30(5): 637-663 (2018) - [c85]Tatiana P. Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
A First Study on What MDL Can Do for FCA. CLA 2018: 25-36 - [c84]Aimene Belfodil, Sergei O. Kuznetsov, Mehdi Kaytoue:
Pattern Setups and Their Completions. CLA 2018: 243-253 - [c83]Tatiana P. Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
MDL for FCA: Is There a Place for Background Knowledge? FCA4AI@IJCAI 2018: 45-56 - [e23]Wil M. P. van der Aalst, Vladimir Batagelj, Goran Glavas, Dmitry I. Ignatov, Michael Yu. Khachay, Olessia Koltsova, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko:
Supplementary Proceedings of the Seventh International Conference on Analysis of Images, Social Networks and Texts (AIST 2018), Moscow, Russia, July 5 - 7, 2018. CEUR Workshop Proceedings 2268, CEUR-WS.org 2018 [contents] - [e22]Wil M. P. van der Aalst, Dmitry I. Ignatov, Michael Yu. Khachay, Sergei O. Kuznetsov, Victor S. Lempitsky, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Andrey V. Savchenko, Stanley Wasserman:
Analysis of Images, Social Networks and Texts - 6th International Conference, AIST 2017, Moscow, Russia, July 27-29, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10716, Springer 2018, ISBN 978-3-319-73012-7 [contents] - [e21]Wil M. P. van der Aalst, Vladimir Batagelj, Goran Glavas, Dmitry I. Ignatov, Michael Yu. Khachay, Sergei O. Kuznetsov, Olessia Koltsova, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko:
Analysis of Images, Social Networks and Texts - 7th International Conference, AIST 2018, Moscow, Russia, July 5-7, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11179, Springer 2018, ISBN 978-3-030-11026-0 [contents] - [e20]Sergei O. Kuznetsov, Amedeo Napoli, Sebastian Rudolph:
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), Stockholm, Sweden, July 13, 2018. CEUR Workshop Proceedings 2149, CEUR-WS.org 2018 [contents] - 2017
- [j31]Mikhail A. Babin, Sergei O. Kuznetsov:
Dualization in lattices given by ordered sets of irreducibles. Theor. Comput. Sci. 658: 316-326 (2017) - [c82]Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli:
Efficient Mining of Subsample-Stable Graph Patterns. ICDM 2017: 757-762 - [c81]Tatiana P. Makhalova, Sergei O. Kuznetsov:
On Overfitting of Classifiers Making a Lattice. ICFCA 2017: 184-197 - [c80]Aimene Belfodil, Sergei O. Kuznetsov, Céline Robardet, Mehdi Kaytoue:
Mining Convex Polygon Patterns with Formal Concept Analysis. IJCAI 2017: 1425-1432 - [c79]Sergei O. Kuznetsov, Nurtas Makhazhanov, Maxim Ushakov:
On Neural Network Architecture Based on Concept Lattices. ISMIS 2017: 653-663 - [e19]Wil M. P. van der Aalst, Mikhail Yu. Khachay, Sergei O. Kuznetsov, Victor S. Lempitsky, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Andrey V. Savchenko, Stanley Wasserman, Dmitry I. Ignatov:
Supplementary Proceedings of the Sixth International Conference on Analysis of Images, Social Networks and Texts (AIST 2017), Moscow, Russia, July 27 - 29, 2017. CEUR Workshop Proceedings 1975, CEUR-WS.org 2017 [contents] - [e18]Leonid A. Kalinichenko, Sergei O. Kuznetsov, Yannis Manolopoulos:
Data Analytics and Management in Data Intensive Domains - XVIII International Conference, DAMDID/RCDL 2016, Ershovo, Moscow, Russia, October 11-14, 2016, Revised Selected Papers. Communications in Computer and Information Science 706, 2017, ISBN 978-3-319-57134-8 [contents] - [e17]Oleg S. Pianykh, Alexey Neznanov, Sergei O. Kuznetsov, Jaume Baixeries, Svetla Boytcheva:
Workshop on Data Analysis in Medicine, WDAM 2017, Moscow, Russia, May 29, 2017. Kalpa Publications in Computing 6, EasyChair 2017 [contents] - [e16]Rokia Missaoui, Sergei O. Kuznetsov, Sergei A. Obiedkov:
Formal Concept Analysis of Social Networks. Lecture Notes in Social Networks, Springer 2017, ISBN 978-3-319-64166-9 [contents] - [i13]Mikhail V. Goubko, Sergei O. Kuznetsov, Alexey A. Neznanov, Dmitry I. Ignatov:
Bayesian Learning of Consumer Preferences for Residential Demand Response. CoRR abs/1701.08757 (2017) - [i12]Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli:
Mining Best Closed Itemsets for Projection-antimonotonic Constraints in Polynomial Time. CoRR abs/1703.09513 (2017) - 2016
- [j30]Aleksey Buzmakov, Elias Egho, Nicolas Jay, Sergei O. Kuznetsov, Amedeo Napoli, Chedy Raïssi:
On mining complex sequential data by means of FCA and pattern structures. Int. J. Gen. Syst. 45(2): 135-159 (2016) - [c78]Yury Kashnitsky, Sergei O. Kuznetsov:
Global Optimization in Learning with Important Data: an FCA-Based Approach. CLA 2016: 189-201 - [c77]Natalia V. Korepanova, Sergei O. Kuznetsov:
Pattern Structures for Treatment Optimization in Subgroups of Patients. CLA 2016: 217-229 - [c76]Sergei O. Kuznetsov, Tatyana P. Makhalova:
On Stability of Triadic Concepts. CLA 2016: 245-253 - [c75]Alexey Masyutin, Sergei O. Kuznetsov:
Continuous Target Variable Prediction with Augmented Interval Pattern Structures: A Lazy Algorithm. CLA 2016: 273-284 - [c74]Yury Kashnitsky, Sergei O. Kuznetsov:
Interval Pattern Concept Lattice as a Classifier Ensemble. FCA4AI@ECAI 2016: 105-112 - [e15]Marianne Huchard, Sergei O. Kuznetsov:
Proceedings of the Thirteenth International Conference on Concept Lattices and Their Applications, Moscow, Russia, July 18-22, 2016. CEUR Workshop Proceedings 1624, CEUR-WS.org 2016 [contents] - [e14]Sergei O. Kuznetsov, Amedeo Napoli, Sebastian Rudolph:
Proceedings of the 5th International Workshop "What can FCA do for Artificial Intelligence"? co-located with the European Conference on Artificial Intelligence, FCA4AI@ECAI 2016, The Hague, the Netherlands, August 30, 2016. CEUR Workshop Proceedings 1703, CEUR-WS.org 2016 [contents] - [e13]Leonid A. Kalinichenko, Yannis Manolopoulos, Sergei O. Kuznetsov:
Selected Papers of the XVIII International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2016), Ershovo, Moscow Region, Russia, October 11-14, 2016. CEUR Workshop Proceedings 1752, CEUR-WS.org 2016 [contents] - [i11]Sergei O. Kuznetsov, Tatyana P. Makhalova:
On interestingness measures of formal concepts. CoRR abs/1611.02646 (2016) - 2015
- [j29]Sergei O. Kuznetsov, Artem Revenko:
Interactive error correction in implicative theories. Int. J. Approx. Reason. 63: 89-100 (2015) - [j28]Jean-Philippe Métivier, Alban Lepailleur, Aleksey Buzmakov, Guillaume Poezevara, Bruno Crémilleux, Sergei O. Kuznetsov, Jérémie Le Goff, Amedeo Napoli, Ronan Bureau, Bertrand Cuissart:
Discovering Structural Alerts for Mutagenicity Using Stable Emerging Molecular Patterns. J. Chem. Inf. Model. 55(5): 925-940 (2015) - [j27]Dmitry I. Ignatov, Dmitry V. Gnatyshak, Sergei O. Kuznetsov, Boris G. Mirkin:
Triadic Formal Concept Analysis and triclustering: searching for optimal patterns. Mach. Learn. 101(1-3): 271-302 (2015) - [c73]Boris A. Galitsky, Dmitry I. Ilvovsky, Sergei O. Kuznetsov:
Rhetoric Map of an Answer to Compound Queries. ACL (2) 2015: 681-686 - [c72]Boris A. Galitsky, Dmitry I. Ilvovsky, Sergey O. Kuznetsov:
Text Integrity Assessment: Sentiment Profile vs Rhetoric Structure. CICLing (2) 2015: 126-139 - [c71]Sergei O. Kuznetsov, Tatyana P. Makhalova:
Concept Interestingness Measures: a Comparative Study. CLA 2015: 59-72 - [c70]Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli:
Revisiting Pattern Structure Projections. ICFCA 2015: 200-215 - [c69]Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli:
SOFIA: How to Make FCA Polynomial? FCA4AI@IJCAI 2015: 27-35 - [c68]Alexey Masyutin, Yury Kashnitsky, Sergei O. Kuznetsov:
Lazy Classication with Interval Pattern Structures: Application to Credit Scoring. FCA4AI@IJCAI 2015: 43-54 - [c67]Yury Kashnitsky, Sergei O. Kuznetsov:
Lazy Associative Graph Classification. FCA4AI@IJCAI 2015: 63-74 - [c66]Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli:
Fast Generation of Best Interval Patterns for Nonmonotonic Constraints. ECML/PKDD (2) 2015: 157-172 - [c65]Mehdi Kaytoue, Víctor Codocedo, Aleksey Buzmakov, Jaume Baixeries, Sergei O. Kuznetsov, Amedeo Napoli:
Pattern Structures and Concept Lattices for Data Mining and Knowledge Processing. ECML/PKDD (3) 2015: 227-231 - [c64]Boris A. Galitsky, Dmitry I. Ilvovsky, Sergei O. Kuznetsov:
Text Classification into Abstract Classes Based on Discourse Structure. RANLP 2015: 200-207 - [e12]Sergei O. Kuznetsov, Rokia Missaoui, Sergei A. Obiedkov:
Proceedings of the Workshop on Social Network Analysis using Formal Concept Analysis in conjunction with the 13th International Conference on Formal Concept Analysis (ICFCA 2015), Nerja (Malaga), Spain, June 25, 2015. CEUR Workshop Proceedings 1534, CEUR-WS.org 2015 [contents] - [e11]Sergei O. Kuznetsov, Amedeo Napoli, Sebastian Rudolph:
Proceedings of the 4th International Workshop "What can FCA do for Artificial Intelligence?", FCA4AI 2015, co-located with the International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, July 25, 2015. CEUR Workshop Proceedings 1430, CEUR-WS.org 2015 [contents] - [i10]Mikhail A. Babin, Sergei O. Kuznetsov:
Dualization in Lattices Given by Ordered Sets of Irreducibles. CoRR abs/1504.01145 (2015) - [i9]Aleksey Buzmakov, Elias Egho, Nicolas Jay, Sergei O. Kuznetsov, Amedeo Napoli, Chedy Raïssi:
On mining complex sequential data by means of FCA and pattern structures. CoRR abs/1504.02255 (2015) - [i8]Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli:
Fast Generation of Best Interval Patterns for Nonmonotonic Constraints. CoRR abs/1506.01071 (2015) - [i7]Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli:
Revisiting Pattern Structure Projections. CoRR abs/1506.05018 (2015) - 2014
- [j26]Mehdi Kaytoue, Sergei O. Kuznetsov, Juraj Macko, Amedeo Napoli:
Biclustering meets triadic concept analysis. Ann. Math. Artif. Intell. 70(1-2): 55-79 (2014) - [j25]Boris A. Galitsky, Dmitry I. Ilvovsky, Sergey O. Kuznetsov:
Extending Tree Kernels Towards Paragraphs. Int. J. Comput. Linguistics Appl. 5(1): 105-116 (2014) - [j24]Jonas Poelmans, Dmitry I. Ignatov, Sergei O. Kuznetsov, Guido Dedene:
Fuzzy and rough formal concept analysis: a survey. Int. J. Gen. Syst. 43(2): 105-134 (2014) - [c63]Fedor Strok, Boris A. Galitsky, Dmitry I. Ilvovsky, Sergei O. Kuznetsov:
Pattern Structure Projections for Learning Discourse Structures. AIMSA 2014: 254-260 - [c62]Natalia Korepanova, Sergei O. Kuznetsov, Alexander I. Karachunskiy:
Matchings and Decision Trees for Determining Optimal Therapy. AIST 2014: 101-110 - [c61]Dmitry Gnatyshak, Dmitry I. Ignatov, Sergei O. Kuznetsov, Lhouari Nourine:
A One-pass Triclustering Approach: Is There any Room for Big Data? CLA 2014: 231-242 - [c60]Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli:
Scalable Estimates of Concept Stability. ICFCA 2014: 157-172 - [c59]Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli:
Is Concept Stability a Measure for Pattern Selection? ITQM 2014: 918-927 - [c58]Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli:
On Evaluating Interestingness Measures for Closed Itemsets. STAIRS 2014: 71-80 - [e10]Gennady Agre, Pascal Hitzler, Adila Alfa Krisnadhi, Sergei O. Kuznetsov:
Artificial Intelligence: Methodology, Systems, and Applications - 16th International Conference, AIMSA 2014, Varna, Bulgaria, September 11-13, 2014. Proceedings. Lecture Notes in Computer Science 8722, Springer 2014, ISBN 978-3-319-10553-6 [contents] - [e9]Alexander S. Kulikov, Sergei O. Kuznetsov, Pavel A. Pevzner:
Combinatorial Pattern Matching - 25th Annual Symposium, CPM 2014, Moscow, Russia, June 16-18, 2014. Proceedings. Lecture Notes in Computer Science 8486, Springer 2014, ISBN 978-3-319-07565-5 [contents] - [e8]Edward A. Hirsch, Sergei O. Kuznetsov, Jean-Éric Pin, Nikolay K. Vereshchagin:
Computer Science - Theory and Applications - 9th International Computer Science Symposium in Russia, CSR 2014, Moscow, Russia, June 7-11, 2014. Proceedings. Lecture Notes in Computer Science 8476, Springer 2014, ISBN 978-3-319-06685-1 [contents] - [i6]Sergei O. Kuznetsov, Artem Revenko:
Interactive Error Correction in Implicative Theories. CoRR abs/1410.5215 (2014) - 2013
- [j23]Mikhail A. Babin, Sergei O. Kuznetsov:
Computing premises of a minimal cover of functional dependencies is intractable. Discret. Appl. Math. 161(6): 742-749 (2013) - [j22]Jonas Poelmans, Dmitry I. Ignatov, Sergei O. Kuznetsov, Guido Dedene:
Formal concept analysis in knowledge processing: A survey on applications. Expert Syst. Appl. 40(16): 6538-6560 (2013) - [j21]Jonas Poelmans, Sergei O. Kuznetsov, Dmitry I. Ignatov, Guido Dedene:
Formal Concept Analysis in knowledge processing: A survey on models and techniques. Expert Syst. Appl. 40(16): 6601-6623 (2013) - [j20]Sergei O. Kuznetsov, Dominik Slezak:
Data mining and soft computing. Int. J. Gen. Syst. 42(6): 543-545 (2013) - [j19]Dmitry I. Ignatov, Sergei O. Kuznetsov, Jonas Poelmans, Leonid E. Zhukov:
Can triconcepts become triclusters? Int. J. Gen. Syst. 42(6): 572-593 (2013) - [j18]Sergei O. Kuznetsov, Jonas Poelmans:
Knowledge representation and processing with formal concept analysis. WIREs Data Mining Knowl. Discov. 3(3): 200-215 (2013) - [c57]Aleksey Buzmakov, Elias Egho, Nicolas Jay, Sergei O. Kuznetsov, Amedeo Napoli, Chedy Raïssi:
On Projections of Sequential Pattern Structures (with an Application on Care Trajectories). CLA 2013: 199-208 - [c56]Dmitry Gnatyshak, Dmitry I. Ignatov, Sergei O. Kuznetsov:
From Triadic FCA to Triclustering: Experimental Comparison of Some Triclustering Algorithms. CLA 2013: 249-260 - [c55]Boris A. Galitsky, Sergei O. Kuznetsov:
A Web Mining Tool for Assistance with Creative Writing. ECIR 2013: 828-831 - [c54]Boris A. Galitsky, Dmitry I. Ilvovsky, Sergei O. Kuznetsov, Fedor Strok:
Finding Maximal Common Sub-parse Thickets for Multi-sentence Search. GKR 2013: 39-57 - [c53]Boris A. Galitsky, Sergei O. Kuznetsov, Daniel Usikov:
Parse Thicket Representation for Multi-sentence Search.