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Pattern Structures for Knowledge Processing and Information Retrieval
P. 410-420.
Publication based on the results of:
In book
Vol. 330. , Springer, 2022
Goncharova E., Ilvovsky D., Galitsky B., , in : Proceedings of the 9th International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI 2021). Vol. 2972.: CEUR-WS, 2021. P. 51-58.
Added: October 28, 2021
Kuznetsov S., , in : Proc. 11th International Conference on Formal Concept Analysis (ICFCA 2013). Vol. 7880.: Springer, 2013. P. 254-266.
Pattern structures, an extension of FCA to data with complex descriptions, propose an alternative to conceptual scaling (binarization) by giving direct way to knowledge discovery in complex data such as logical formulas, graphs, strings, tuples of numerical intervals, etc. Whereas the approach to classification with pattern structures based on preceding generation of classifiers can lead ...
Added: June 2, 2013
Natalia V. Korepanova, Sergei O. Kuznetsov, , in : CLA 2016: Proceedings of the Thirteenth International Conference on Concept Lattices and Their Applications. CEUR Workshop Proceedings. Vol. 1624.: M. : Higher School of Economics, National Research University, 2016. P. 217-229.
A comparison of different treatment strategies does not always result in determining the best one for all patients, one needs to study subgroups of patients with significant difference in efficiency between treatment strategies. To solve this problem an approach to subgroups generation is proposed, where data are described in terms of a pattern structure and ...
Added: October 12, 2016
Korepanova N., Kuznetsov S., , in : Formal Concept Analysis for Knowledge Discovery. Proceedings of International Workshop on Formal Concept Analysis for Knowledge Discovery (FCA4KD 2017), Moscow, Russia, June 1, 2017. Vol. 1921.: CEUR-WS.org, 2017. P. 13-21.
Today personalized medicine is one of the most popular interdisciplinary research field, risk group identification being one of its most important tasks. Even though the first attempts to estimate the effect of patient’s characteristics on the outcome were proposed in statistics in the middle of the twentieth century, it is still an open question how ...
Added: October 4, 2017
Buzmakov A. V., Egho E., Jay N. et al., International Journal of General Systems 2016 Vol. 45 No. 2 P. 135-159
Nowadays data-sets are available in very complex and heterogeneous ways. Mining of such data collections is essential to support many real-world applications ranging from healthcare to marketing. In this work, we focus on the analysis of “complex” sequential data by means of interesting sequential patterns. We approach the problem using the elegant mathematical framework of ...
Added: February 25, 2016
Buzmakov A. V., Egho E., Jay N. et al., , in : Proceedings of the International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI at IJCAI 2013). Issue 1058.: Beijing : CEUR Workshop Proceedings, 2013. P. 7-14.
In this paper, we are interested in the analysis of sequential data and we propose an original framework based on Formal Concept Analysis (FCA). For that, we introduce sequential pattern structures, an original specification of pattern structures for dealing with sequential data. Pattern structures are used in FCA for dealing with complex data such as ...
Added: October 23, 2015
Belov A. V., karbachinsky I. O., Качество. Инновации. Образование 2014 № 6 С. 24-32
Today web spam is the one of the key problems of modern web search engines. In this paper we investigate the efficiency of various dimensionality reduction methods applying to the spam classifier of go.mail.ru search system. Effective utilization of such techniques can significantly increase the number of features and the quality of the classifier without ...
Added: February 2, 2015
Klyshinskiy E., Gribova V., Shakhgeldyan C. et al., , in : 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. Vol. 1086.: Springer, 2020. P. 143-153.
Added: October 26, 2019
Dmitry Frolov, , in : Communications in Computer and Information Science. Information Retrieval. 10th Russian Summer School, RuSSIR 2016, Saratov, Russia, August 22-26, 2016, Revised Selected Papers. : Springer, 2016.
A method for fuzzy full text search is proposed. The method
follows a popular two-stage scheme with a novel second stage: a prelim inary search stage using an n-gram inverted index and, at the second
stage, relevance checking between the query and documents using fre quency annotated suffix trees (ASTs). The ASTs are built for all docu ments of the ...
Added: December 13, 2016
Springer, 2022
“Data Analytics and Management in Data Intensive Domains” conference (DAMDID) is planned as a multidisciplinary forum of researchers and practitioners from various domains of science and research promoting cooperation and exchange of ideas in the area of data analysis and management in data intensive domains. Approaches to data analysis and management being developed in specific data intensive domains of X-informatics (such as X = astro, bio, chemo, geo, medicine, neuro, physics, ...
Added: August 30, 2021
Springer, 2017
Added: November 9, 2018
Springer, 2020
Added: October 4, 2020
Braslavski P. undefined., Markov I., Pardalos P. M. et al., ACM SIGIR Forum 2016 Vol. 49 No. 2 P. 72-79
This paper provides the reader with a report on 9th Russian Summer School in Information Retrieval (RuSSIR 2015). ...
Added: February 27, 2017
Makhalova T., Ilvovsky D., Galitsky B., , in : Proceedings of the International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI at IJCAI 2015). : Buenos Aires : [б.и.], 2015. P. 35-42.
Usually web search results are represented as long list of document snippets. It is
difficult for users to navigate through this collection of text. We propose clustering method
that uses pattern structure constructed on augmented syntactic parse trees. In addition, we
compare our method to other clustering methods and demonstrate the limitations of the
competitive methods. ...
Added: October 11, 2016
Buzmakov A. V., Kuznetsov S., Napoli A., , in : Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings. * 2. Vol. 9285.: Dordrecht, L., Cham, Heidelberg, NY : Springer, 2015. P. 157-172.
In pattern mining, the main challenge is the exponential explosion of the set of patterns. Typically, to solve this problem, a constraint for pattern selection is introduced. One of the first constraints proposed in pattern mining is support (frequency) of a pattern in a dataset. Frequency is an anti-monotonic function, i.e., given an infrequent pattern, ...
Added: October 22, 2015
Kashnitsky Y., Kuznetsov S., , in : Proceedings of the International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI at ECAI 2016). : M. : [б.и.], 2016. P. 105-112.
Decision tree learning is one of the most popular classifica- tion techniques. However, by its nature it is a greedy approach to finding a classification hypothesis that optimizes some information-based crite- rion. It is very fast but may lead to finding suboptimal classification hy- potheses. Moreover, in spite of decision trees being easily interpretable, ensembles ...
Added: October 6, 2016
Kuznetsov S., Demko C., Bertet K. et al., , in : Electronic Procedings Theoretical Computer Science. Vol. 845.: [б.и.], 2020. P. 1-20.
In this article, we present a new data type agnostic algorithm calculating a concept lattice from heterogeneous and complex data. Our NextPriorityConcept algorithm is first introduced and proved in the binary case as an extension of Bordat's algorithm with the notion of strategies to select only some predecessors of each concept, avoiding the generation of ...
Added: October 29, 2020
[б.и.], 2020
Theoretical Computer Science is mathematical and abstract in spirit, but it derives its motivation from practical and everyday computation. Its aim is to understand the nature of computation and, as a consequence of this understanding, provide more efficient methodologies. All papers introducing or studying mathematical, logic and formal concepts and methods are welcome, provided that their motivation is ...
Added: October 29, 2020
Kaytoue M., Codocedo V., Buzmakov A. V. et al., , in : Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings. * III. Vol. 9286.: Dordrecht, L., Heidelberg, NY, Cham : Springer, 2015. P. 227-231.
This article aims at presenting recent advances in Formal Concept Analysis (2010-2015), especially when the question is dealing with complex data (numbers, graphs, sequences, etc.) in domains such as databases (functional dependencies), data-mining (local pattern discovery), information retrieval and information fusion. As these advances are mainly published in artificial intelligence and FCA dedicated venues, a ...
Added: October 23, 2015
Muratova A., Gizdatullin D., Ignatov D. I. et al., В кн. : Социология и общество: социальное неравенство и социальная справедливость (Екатеринбург , 19-21 октября 2016 года). Материалы V Всероссийского социологического конгресса. : М. : Российское общество социологов, 2016. С. 9601-9615.
In this paper, we summarize the results of recent studies on the application of pattern mining and machine learning to the analysis of demographic sequences. The main goal is the demonstration of demographers’ needs, including next-event prediction and the extraction of interesting patterns from substantial datasets of demographic data, which cannot be handled by conventional ...
Added: November 24, 2016
Malafeev A., Мальтина Л. П., Научно-техническая информация. Серия 2: Информационные процессы и системы 2021 № 1
The paper proposes algorithms that perform automatic morphemic analysis of words and methods of distributed representations of words that indirectly use information about the morphemic composition through the averaging of vectors of same-root words. Morphemic analysis models for the Russian language are evaluated on samples of common and rare words. Several methods are proposed for obtaining ...
Added: November 9, 2020
Association for Computing Machinery (ACM), 2022
Added: July 8, 2022