Library - Titarenko Mikhail - Research of the classification methods of information of international trade activity of states within the framework of information retrieval system

My own publications and reports

1. Анализ существующих методов классификации информации и их применение в системе GrabTheTrade
Authors: М.Г. Титаренко, И.А. Коломойцева

Description: The analysis of existing classification algorithms used in modern information retrieval systems is presented. Classification methods that can be used in the information system GrabTheTrade are defined.

Source: Материалы V Международной научно-технической конференции «Современные информационные технологии в образовании и научных исследованиях» (СИТОНИ-2017). – Донецк: ДонНТУ, 2017.
2. Анализ существующих алгоритмов классификации текстов и их применение в экономически ориентированных системах
Authors: М.Г. Титаренко, И.А. Коломойцева

Description: An analysis of existing classification algorithms used in modern information retrieval systems of an economic nature is presented. The algorithm with the highest sensitivity for the classification of economic texts is determined.

Source: Материалы студенческой секции IX Международной научно-технической конференции «Информатика, управляющие системы, математическое и компьютерное моделирование» (ИУСМКМ-2018). – Донецк: ДонНТУ, 2018.
3. Обзор и анализ алгоритмов для осуществления бинарной классификации информации о внешнеторговой деятельности государств
Authors: М.Г. Титаренко, И.А. Коломойцева

Description: The analysis of existing classification algorithms, the selection of characteristics and test data and testing of classifiers are carried out, their evaluation and comparison of the results of the binary classification of international trade information is presented.

Source: Материалы международной научно-практическаой конференции «Программная инженерия: методы и технологии разработки информационновычислительных систем» (ПИИВС-2018) – Донецк: ДонНТУ, 2018.

Thematic articles (English)

4. Ontology-based multi-label classification of economic articles
Authors: Sergeja Vogrinčič and Zoran Bosnić

Description: In the study, Sergei Vogrinchic and Zoran Bosnik represent an approach to the task of automatic categorization of documents in the field of economics.

Source: Computer Science and Information Systems [source]
5. Research of Text Categorization on WEKA
Authors: Li Dan, and Liu Lihua, Zhang Zhaoxin

Description: The paper analyzes three popular algorithms of text categorization, namely naive Bayesian classifier, decision tree and support vector machine.

Source: Third International Conference on Intelligent System Design and Engineering Applications, 2013 [source]
6. The Effectiveness of Homogenous Ensemble Classifiers for Turkish and English Texts
Authors: Zeynep Hilal Kilimci, Selim Akyokus, Sevinc Ilhan Omurca

Description: The article provides a comparative analysis of the use of homogeneous ensembles for the classification of Turkish and English texts.

Source: International Symposium on Innovations in Intelligent Systems and Applications (INISTA), 2016 [source]

Thematic articles (Russian)

7. Автоматическая классификация текстовых документов с использованием нейросетевых алгоритмов и семантического анализа
Authors: Андреев А.М., Березкин Д.В., Морозов В.В., Симаков К.В.

Description: In the article the neural network algorithms usage in problems of classification of texts are considered, as well as the methods and models of semantic analysis of texts in relation to the task of improving the quality of heading selection.

Source: Всероссийская Научная Конференция, 2003 [source]
8. Сравнительный анализ алгоритмов классификации и способов представления Web-документов
Authors: Максаков Алексей

Description: In the paper a number of classification algorithms and questions of preprocessing of texts are considered.

Source: Третий российский семинар по оценке методов информационного поиска [source]

Translations of my own articles in English

9. Analysis of existing methods of classification of information and its application in the system GrabTheTrade
Authors: M.G. Titarenko, I.A. Kolomoytseva, R.R. Gilmanova

Description: The analysis of existing classification algorithms used in modern information retrieval systems is presented. Classification methods that can be used in the GrabTheTrade information system are defined.

Source: Материалы V Международной научно-технической конференции «Современные информационные технологии в образовании и научных исследованиях» (СИТОНИ-2017). – Донецк: ДонНТУ, 2017.
10. Review and analysis of effectiveness of the binary classification algorithms to classify information of countries’ international trade activity
Authors: M.G. Titarenko, I.A. Kolomoytseva, R.R. Gilmanova

Description: The analysis of the existing classification algorithms is presented, the selection of features and test data is carried out, the classifiers are tested, the effectiveness rates of the binary classification algorithms to classify information of countries’ international trade activity are evaluated and compared.

Source: Материалы международной научно-практическаой конференции «Программная инженерия: методы и технологии разработки информационновычислительных систем» (ПИИВС-2018) – Донецк: ДонНТУ, 2018.

Library of materials on the theme of graduation work