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

Materials of DonNTU Masters

1. Olga Serozhenko, Designing and implementing an intelligent meta-search system of finding quotes
Description: Personal site on the portal of DonNTU masters, 2017

Supervisor: professor Sudakov Sergey

Consultant: senior lecturer Kolomoitseva Irina
2. Kristina Okhrimenko, Models and algorithmic support for the construction of semantic networks in natural language texts
Description: Personal site on the portal of DonNTU masters, 2012

Supervisor: Ph.D. (c.t.s)., Sergey Voronoy
3. Yulia Tregubova, Reseach of method of thematically oriented classification for Internet search results
Description: Personal site on the portal of DonNTU masters, 2014

Supervisor: Ph.D., Professor Sergey Voronoy
4. Linkin Viktor Olegovich, The study of algorithmic support of intelligent system multidisciplinary classification of hypertext documents
Description: Personal site on the portal of DonNTU masters, 2013

Supervisor: Ph.D., docent Egoshina Anna Anatolevna
5. Prokapovich Alexander, Development of algorithmic support predictive analysis module emotional content of natural language messages blogs and forums
Description: Personal site on the portal of DonNTU masters, 2014

Supervisor: Ph.D., Professor Anna Egoshina
6. Yevhenii Zapletin, Research algorithms which detects relationships in large data sets using Big Data technologies
Description: Personal site on the portal of DonNTU masters, 2015

Supervisor: Ph.D., docent Alexander Grigoriev
7. Kate Kisnichenko, Development and research of algorithm of forming of semantic kernel of web site on the basis of methods of Data Mining
Description: Personal site on the portal of DonNTU masters, 2014

Supervisor: d.f.-m.s., prof. Vladislav Shelepov

Scientific studies and articles

8. Методы автоматической классификации текстов
Authors: Батура Т.В.

Description: This article describes the most common algorithms for constructing classifiers, experiments carried out with them and the results of these experiments.
9. An improved K-nearest-neighbor algorithm for text categorization
Authors: Shengyi Jiang, Guansong Pang, Meiling Wu, Limin Kuang

Description: The paper proposes to improve the kNN algorithm and compare them with each other when working with a universal classification.
10. Classification of e-customer sessions based on support vector machine
Authors: Grazyna Suchacka, Magdalena Skolimowska-Kulig

Description: The article describes an approach for predicting the need of a buyer based on his session based on the SVM algorithm.
11. Application of SVM in Financial Research
Authors: Bingyu Cao, Deping Zhan

Description: The study analyzed an application based on SVM for the classification of texts of a financial nature.
12. Support-Vector Networks
Authors: Corrina Cortes, Vladimir Vapnik

Description: A new approach to bifurcation classification is investigated in this paper.
13. An ensemble heterogeneous classification methodology for discovering health-related knowledge in social media messages
Authors: Suppawong Tuarob, Conrad S. Tucker, Marcel Salathe, Nilam Ram

Description: The article describes the approach to classify the messages of people in social networks to determine the level of health through heterogeneous ensembles.
14. Improving Classification Performance through an Advanced Ensemble Based Heterogeneous Extreme Learning Machines
Authors: Adnan O.M. Abuassba, Dezheng Zhang, Xiong Luo, Ahmad Shaheryar, Hazrat Ali

Description: The study presents one of the methods for improving classification, based on the use of advanced heterogeneous ensembles.
15. Two-level hierarchical combination method for text classification
Authors: Wen Li, Duoqian Miao, Weili Wang

Description: The article presents an approach to improve the SVN algorithm using the two-level hierarchical combination method.
16. Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research
Authors: Stefan Lessmann, Bart Baesensbc, Hsin-Vonn Seowd, Lyn C. Thomasc

Description: The work is an updated meta-analysis and benchmark of classification algorithms for credit assessment.
17. A Survey of Text Classification Algorithms
Authors: Charu C. Aggarwal, Cheng Xiang Zhai

Description: The paper studies a wide range of text-classification algorithms.
18. Effective Approaches of Classification Algorithms for Text Mining Applications
Authors: U.Latha, T.Velmurugan

Description: The article describes effective classifier approaches for Text Mining.
19. Применение генетических алгоритмов в гибридных методах классификации
Authors: Козеев О.Е.

Description: The article deals with hybrid classification methods with genetic algorithms such as decision trees, neural networks, Bayesian classifactors and kNN.

Sites and articles by subject

20. Отбор признаков для машинного обучения на Python
Description: The article describes the mechanism for selecting features for machine learning, which can be used for the text classification.
21. Classifier comparison
Description: The article compares the classifiers presented in the library scikit-learn.
22. Classifying Reuters-21578 collection with Python: Representing the data
Description: The article describes the process of creating a classifier based on the popular data set from Reuters.
23. Введение в машинное обучение с помощью Python и Scikit-Learn
Description: The article presents the stages of creating a classifier on the basis of machine learning, as well as an overview of popular classification algorithms.
24. Автостопом по машинному обучению на Python
Description: The article introduces the introduction of machine learning for the solution of the classification problem, as well as an overview of the implementation of some classification algorithms.
25. Метод опорных векторов (SVM)
Description: The article reviews the SVM algorithm, analyzes its shortcomings and advantages, identifies possible areas of application.
26. Алгоритм C4.5
Description: The article reviews the algorithm C4.5, analyzes its shortcomings and advantages, identifies possible areas of application.
27. Метод k-средних
Description: The article reviews the k-medium method, analyzes its disadvantages and advantages, identifies possible areas of application.
28. Алгоритм Apriori
Description: The article reviews the Apriori algorithm, analyzes its shortcomings and advantages, identifies possible areas of application. An example of implementation of the algorithm is given.
29. EM-алгоритм
Description: The article reviews the EM-algorithm, analyzes its shortcomings and advantages, identifies possible areas of application. An example of implementation of the algorithm is given.
30. Алгоритм AdaBoost
Description: In the article an overview of the algorithm of the strengthening of AdaBoost classifiers is analyzed, its weaknesses and advantages are analyzed, the possible areas of application are determined. An example of implementation of the algorithm is given.
31. Алгоритм CART
Description: An overview of one of the most popular Data Mining algorithms - CART - is presented in this article. It analyzes its shortcomings and advantages, identifies possible areas of application. An example of implementation of the algorithm is given.
32. Алгоритм k-ближайших соседей
Description: In the article an overview of the algorithm of k-nearest neighbors is made, its weaknesses and advantages are analyzed, the possible application areas are determined.
33. Наивный баейсовский классификатор
Description: In the article an overview of the naive Bayesian classifier was performed, its weaknesses and advantages analyzed, the possible areas of application were determined.
34. Методы отбора фич
Description: The article presents the main methods of selection of features, as well as methods for assessing the effectiveness of the selection.
35. Точный критерий Фишера
Description: The article describes the history of the emergence and justification of Fisher's criterion.
36. Оценка точности классификатора
Description: The article describes the main criteria for evaluating the accuracy of the classifier.
37. Открытый курс машинного обучения. Тема 3. Классификация, деревья решений и метод ближайших соседей
Description: The article deals with approaches to classification and several classification algorithms in detail, as well as their implementation.
38. Методы классификации и прогнозирования. Деревья решений
Description: The lecture describes the method of tree solutions, examines the elements of the decision tree, the process of its construction. Examples of trees that solve the classification problem are given, as well as algorithms for constructing tree solutions for CART and C4.5.
39. Оценка классификатора (точность, полнота, F-мера)
Description: The article describes the purpose and formulas for calculating the main valuation parameters of the classification.
40. Наивный байесовский классификатор
Description: The article describes the theory and practical application of Naive Bayesian classifier.
41. Топ-10 data mining-алгоритмов простым языком
Description: The article summarizes and concentrates on the main data mining algorithms and their purpose.

Scientific journals

42. Международный научно-практический журнал Программные продукты и системы
Description: The publication is designed for users, programmers, developers in all areas of life. Provides open access to scientific publications.
43. Expert Systems with Applications
Description: The publication has a very large number of scientific articles related to expert systems and developed by applications. Useful for employees of the scientific IT sphere. Publications don't have open access.

Specialized sites and portals

44. Data Science
Description: The portal contains many useful articles of Data Science.
45. UCI Machine Learning Repository
Description: Data repository for machine learning. Very useful for testing the quality of the classification.
46. Хабр
Description: A portal with a huge number of custom articles related to the IT field.
47. SCI-HUB
Description: Very useful site for access to scientific publications with private access.
48. CYBERLENINKA
Description: Scientific electronic library, which provides open access to many scientific publications.
49. НОУ ИНТУИТ
Description: An organization that provides remote education with the help of its materials provided on their site.
50. Towards Data Science
Description: The resource provides many articles, concepts, ideas and codes in the direction of Data Science.

Links by the topic of graduation work