Decision tree method for identification and classification of information signals
Recently, the issue of the development of intelligent active-adaptive electrical networks in the energy industry is often considered. Smart electrical networks have many different aspects. The uncertainty of information is one of them and is characterized by insufficiency, unreliability, ambiguity a...
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| Дата: | 2022 |
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| Автори: | , |
| Формат: | Стаття |
| Мова: | Ukrainian |
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Інститут проблем реєстрації інформації НАН України
2022
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| Назва журналу: | Data Recording, Storage & Processing |
Репозитарії
Data Recording, Storage & Processing| id |
drspiprikievua-article-275079 |
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drspiprikievua-article-2750792023-03-24T16:57:12Z Decision tree method for identification and classification of information signals Метод дерева рішень для ідентифікації і класифікації інформаційних сигналів Волошко, А. В. Джеря, Т. Е. графік електричного навантаження, інформаційний сигнал, електроспоживання, дерево рішень, вейвлет-перетворення, вейвлет-базис electrical load graph, information signal, multidimensional modeling, power consumption, decision tree, wavelet transform, wavelet basis Recently, the issue of the development of intelligent active-adaptive electrical networks in the energy industry is often considered. Smart electrical networks have many different aspects. The uncertainty of information is one of them and is characterized by insufficiency, unreliability, ambiguity and uncertainty, and, in addition to physical factors, is associated with economic and temporal factors. During the functioning of electrical networks, it is necessary to qualitatively and correctly assess the degree of uncertainty in solving various problems of the energy sector. The article deals with the issue of correct classification of information signals using the decision tree method. The decision tree method allows you to understand and explain why a specific object belongs to one or another class. Packet wavelets are used to build a balanced wavelet transform tree. The algorithm of the method is indicated with a description and graphic drawings. The advantages of the chosen method and an example analysis are presented. The relevance of the question is determined by the fact that the process of assigning the electrical load schedule to a certain class is significantly accelerated with the help of the decision tree method. In the conclusion, an analysis of the work performed is carried out and a vector of future research is determined for optimization and more accurate results. The research, which was carried out using wavelet analysis, made it possible to model the multidimensional information flow with a complete and incomplete original data set. Останнім часом часто розглядається питання розвитку інтелектуа-льних активно-адаптивних електричних мереж в енергетиці. Інтелек-туальні електричні мережі мають дуже багато різних аспектів. У статті розглянуто питання коректної класифікації інформаційних сигналів за допомогою методу дерева рішень. Це буде значно пришвидшувати процес віднесення графіка електричного навантаження до певного класу. Інститут проблем реєстрації інформації НАН України 2022-12-20 Article Article application/pdf http://drsp.ipri.kiev.ua/article/view/275079 10.35681/1560-9189.2022.24.2.275079 Data Recording, Storage & Processing; Vol. 24 No. 2 (2022); 53-61 Регистрация, хранение и обработка данных; Том 24 № 2 (2022); 53-61 Реєстрація, зберігання і обробка даних; Том 24 № 2 (2022); 53-61 1560-9189 uk http://drsp.ipri.kiev.ua/article/view/275079/270853 Авторське право (c) 2023 Реєстрація, зберігання і обробка даних |
| institution |
Data Recording, Storage & Processing |
| collection |
OJS |
| language |
Ukrainian |
| topic |
графік електричного навантаження інформаційний сигнал електроспоживання дерево рішень вейвлет-перетворення вейвлет-базис electrical load graph information signal multidimensional modeling power consumption decision tree wavelet transform wavelet basis |
| spellingShingle |
графік електричного навантаження інформаційний сигнал електроспоживання дерево рішень вейвлет-перетворення вейвлет-базис electrical load graph information signal multidimensional modeling power consumption decision tree wavelet transform wavelet basis Волошко, А. В. Джеря, Т. Е. Decision tree method for identification and classification of information signals |
| topic_facet |
графік електричного навантаження інформаційний сигнал електроспоживання дерево рішень вейвлет-перетворення вейвлет-базис electrical load graph information signal multidimensional modeling power consumption decision tree wavelet transform wavelet basis |
| format |
Article |
| author |
Волошко, А. В. Джеря, Т. Е. |
| author_facet |
Волошко, А. В. Джеря, Т. Е. |
| author_sort |
Волошко, А. В. |
| title |
Decision tree method for identification and classification of information signals |
| title_short |
Decision tree method for identification and classification of information signals |
| title_full |
Decision tree method for identification and classification of information signals |
| title_fullStr |
Decision tree method for identification and classification of information signals |
| title_full_unstemmed |
Decision tree method for identification and classification of information signals |
| title_sort |
decision tree method for identification and classification of information signals |
| title_alt |
Метод дерева рішень для ідентифікації і класифікації інформаційних сигналів |
| description |
Recently, the issue of the development of intelligent active-adaptive electrical networks in the energy industry is often considered. Smart electrical networks have many different aspects. The uncertainty of information is one of them and is characterized by insufficiency, unreliability, ambiguity and uncertainty, and, in addition to physical factors, is associated with economic and temporal factors. During the functioning of electrical networks, it is necessary to qualitatively and correctly assess the degree of uncertainty in solving various problems of the energy sector.
The article deals with the issue of correct classification of information signals using the decision tree method. The decision tree method allows you to understand and explain why a specific object belongs to one or another class. Packet wavelets are used to build a balanced wavelet transform tree. The algorithm of the method is indicated with a description and graphic drawings. The advantages of the chosen method and an example analysis are presented. The relevance of the question is determined by the fact that the process of assigning the electrical load schedule to a certain class is significantly accelerated with the help of the decision tree method.
In the conclusion, an analysis of the work performed is carried out and a vector of future research is determined for optimization and more accurate results. The research, which was carried out using wavelet analysis, made it possible to model the multidimensional information flow with a complete and incomplete original data set. |
| publisher |
Інститут проблем реєстрації інформації НАН України |
| publishDate |
2022 |
| url |
http://drsp.ipri.kiev.ua/article/view/275079 |
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2024-04-21T19:34:32Z |
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2024-04-21T19:34:32Z |
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