?
Towards polynomial subgroup discovery by means of FCA?
P. 57-68.
The goal of subgroup discovery is to find groups of objectsthat are significantly different than “average” object w.r.t. some super-vised information. It is a computational intensive procedure that tra-verses a large searching space corresponding to the set of formal con-cepts. It was recently found that a part of formal concepts, called stableconcepts, can be found in polynomial time. Accordingly, in this paper anew algorithm, calledSD-SOFIA, is presented.SD-SOFIAfits subgroup dis-covery process in the framework of stable concept search. The proposedalgorithm is evaluated on a dataset from UCI repository. It is shown thatits practical computational complexity is polynomial.
Cham : Springer, 2020
This open access book constitutes the proceedings of the 18th International Conference on Intelligent Data Analysis, IDA 2020, held in Konstanz, Germany, in April 2020.
The 45 full papers presented in this volume were carefully reviewed and selected from 114 submissions. Advancing Intelligent Data Analysis requires novel, potentially game-changing ideas. IDA’s mission is to promote ideas over performance: a ...
Added: May 17, 2020
Jyoti -., Buzmakov Aleksey, Kailasam S., , in : The 15th International Conference on Concept Lattices and Their Applications CLA2020. Issue 2668.: CEUR-WS, 2020. P. 287-292.
Added: July 10, 2021
Chertenkov V., Burovskiy E., Shchur L., Physical Review E - Statistical, Nonlinear, and Soft Matter Physics 2023 Vol. 108 No. 3 Article L032102
We analyze the problem of supervised learning of ferromagnetic phas transitions from the statistical physics perspective. We consider two systems in two universality classes, the two-dimensional Ising model and two-dimensional Baxter-Wu model, and perform careful finite-size analysis of the results of the supervised learning of the phases of each model. We find that the variance ...
Added: September 19, 2023
Iscan Z., Yüksel A., Dokur Z. et al., Digital Signal Processing 2009 Vol. 19 No. 5 P. 890-901
In this study, a novel incremental supervised neural network (ISNN) is proposed for the segmentation of medical images. Performance of the ISNN is investigated for tissue segmentation in medical images obtained from various imaging modalities. Two feature extraction methods based on transform and moments are comparatively investigated to segment the tissues in medical images. Two-dimensional ...
Added: January 22, 2015
Shevchenko E., Синева И., Банковское дело 2011 № 3 С. 70-78
The article gives an overview of the main approaches to verification of the internal rating methods of analysis of the creditworthiness. The article gives practical advice on the application of these techniques by an example of real internal rating technique. ...
Added: December 14, 2012
Romanov A., Ekaterina Kozlova, Lomotin Konstantin, , in : Digital Transformation and Global Society. Third International Conference, DTGS 2018, St. Petersburg, Russia, 2018, Revised Selected Papers. Part II. Communications in Computer and Information Science 859. Issue 859.: Springer, 2018. P. 310-323.
This research is dedicated to the design of a decision support system for categorization of scientific literature. The purpose of this work is to research possible ways to apply the machine learning algorithms to the automation of manual text categorization. The following stages are considered: preprocessing of raw data, word embedding, model selection, classification model, ...
Added: August 26, 2019
Dubrova T. A., В кн. : Математико-статистический анализ социально-экономических процессов. Межвузовский сборник научных трудов. Выпуск 8. : М. : Издательство МГУЭСИ, 2011. С. 48-53.
Added: November 26, 2013
Alam M., Buzmakov A. V., Napoli A., Discrete Applied Mathematics 2018 Vol. 249 P. 2-17
With an increased interest in machine processable data and with the progress of semantic technologies, many datasets are now published in the form of RDF triples for constituting the so-called Web of Data. Data can be queried using SPARQL but there are still needs for integrating, classifying and exploring the data for data analysis and ...
Added: September 26, 2017
Korepanova N., , in : Proceedings of the first Workshop on Data Analysis in Medicine (WDAM-2017). Issue 6.: EasyChair, 2018. P. 48-53.
Modern medicine aspire to improve the effectiveness of treatment for some diseases through, so called, personalized medicine. However, totally personalized medicine or personalized treatment of even one disease is a very ambitious goal. Subgroup analysis of patients is a preliminary step to the total personalization. Several completely different views on the principles and usefulness of ...
Added: June 9, 2018
Shamshurin I., , in : Pattern Recognition and Machine Intelligence. 4th International Conference, PReMI 2011, Moscow, Russia, June/July 2011. Proceedings. Issue 6744.: Berlin, Heidelberg : Springer, 2011. P. 254-260.
In this paper, we consider the problem of extracting opinions from natural language texts, which is one of the tasks of sentiment analysis. We provide an overview of existing approaches to sentiment analysis including supervised (Naive Bayes, maximum entropy, and SVM) and unsupervised machine learning methods. We apply three supervised learning methods (Naive Bayes, KNN, ...
Added: October 7, 2012
Buzmakov A. V., В кн. : МАШИННОЕ ОБУЧЕНИЕ В ИССЛЕДОВАНИЯХ МЕДИКО-БИОЛОГИЧЕСКИХ И СОЦИАЛЬНО-ЭКОНОМИЧЕСКИХ ДАННЫХ. : СПб. : Федеральное государственное автономное образовательное учреждение высшего образования "Санкт-Петербургский политехнический университет Петра Великого", 2020. С. 284-333.
In many practical tasks it is needed to estimate an effect of treatment on individual level. For example, in medicine it is essential to determine the patients that would benefit from a certain medicament. In marketing, knowing the persons that are likely to buy a new product would reduce the amount of spam. In this ...
Added: December 7, 2021
Iu. Nasu, V. V. Lanin, Proceedings of the Institute for System Programming of the RAS 2023 Vol. 35 No. 2 P. 49-56
This paper was prepared while developing text classification system for legal documents, especially those that issued by Legislative Assembly of Perm Krai. The problem in question is a lack of solutions that meet regional requirements, the main of which is the classification used in region. The research that evaluates applications of Natural Language Processing models ...
Added: July 4, 2023
Shaphir M., Социология: методология, методы, математическое моделирование 2009 № 28 С. 29-44
Статья посвящена известному и активно применяющемуся в исследовательской практике методу обработки нечисловой информации - анализу соответствий. Метод рассматривается в контексте французской традиции анализа данных и сравнивается с другими разведочными методами. ...
Added: February 11, 2013
Stukal D., Беленков В. Е., Philippov I., Политическая наука 2021 № 1 С. 46-75
Появление и рост популярности социальных сетей, а также растущая цифровизация, проникающая в разнообразные сферы экономики и общества оказали существенное влияние на сферу политики в целом и, в частности, на процессы политической мобилизации и коммуникации. Методологический арсенал политической науки также оказался затронут указанными трансформационными процессами и начал пополняться новыми подходами и методами, предложенными в рамках недавно ...
Added: March 2, 2021