MODEL FOR INTEGRATING DIFFERENT TYPES OF DATA IN MULTILEVEL INFORMATION STRUCTURES.
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| Title: | MODEL FOR INTEGRATING DIFFERENT TYPES OF DATA IN MULTILEVEL INFORMATION STRUCTURES. |
|---|---|
| Alternate Title: | Модель інтеграції різнотипних даних у багаторівневих інформаційних структурах. |
| Authors: | Kashkevych, Svitlana1 svitlana.kashkevych@npp.kai.edu.ua, Lastivka, Oleksandr1 2450626@stud.kai.edu.ua |
| Source: | Electronics & Control Systems. 2026, Vol. 88 Issue 2, p69-76. 8p. |
| Subjects: | Data integration, Data harmonization, Electronic data processing, Decision support systems, Data structures, Mathematical models, Signal denoising, Metadata |
| Abstract: | This article examines the problem of integrating heterogeneous data within multi-level information structures operating under conditions of heterogeneous data sources and variable dynamics of information flows. The relevance of this research stems from the growing volume of data, the diversity of formats, and the need to establish a harmonised information representation for further analysis. The aim of the work is to develop a mathematical model for the integration of heterogeneous data, which formalises the processes of harmonising information flows of different nature. The paper analyses the characteristics of information flow formation and identifies factors influencing the effectiveness of data integration, in particular varying arrival rates, noise levels and source reliability. A multi-level integration model is proposed, which includes stages of pre-processing, normalisation, harmonisation and the formation of an integrated representation. The results obtained showed that the use of a multi-level approach allows for improved consistency of information flows and a reduction in the impact of noise and uncertainty. The proposed model can be used in data processing and decision support systems within complex information environments. [ABSTRACT FROM AUTHOR] |
| Copyright of Electronics & Control Systems is the property of National Aviation University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 193870787 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: MODEL FOR INTEGRATING DIFFERENT TYPES OF DATA IN MULTILEVEL INFORMATION STRUCTURES. – Name: TitleAlt Label: Alternate Title Group: TiAlt Data: Модель інтеграції різнотипних даних у багаторівневих інформаційних структурах. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kashkevych%2C+Svitlana%22">Kashkevych, Svitlana</searchLink><relatesTo>1</relatesTo><i> svitlana.kashkevych@npp.kai.edu.ua</i><br /><searchLink fieldCode="AR" term="%22Lastivka%2C+Oleksandr%22">Lastivka, Oleksandr</searchLink><relatesTo>1</relatesTo><i> 2450626@stud.kai.edu.ua</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Electronics+%26+Control+Systems%22">Electronics & Control Systems</searchLink>. 2026, Vol. 88 Issue 2, p69-76. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Data+integration%22">Data integration</searchLink><br /><searchLink fieldCode="DE" term="%22Data+harmonization%22">Data harmonization</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+data+processing%22">Electronic data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+support+systems%22">Decision support systems</searchLink><br /><searchLink fieldCode="DE" term="%22Data+structures%22">Data structures</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+denoising%22">Signal denoising</searchLink><br /><searchLink fieldCode="DE" term="%22Metadata%22">Metadata</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This article examines the problem of integrating heterogeneous data within multi-level information structures operating under conditions of heterogeneous data sources and variable dynamics of information flows. The relevance of this research stems from the growing volume of data, the diversity of formats, and the need to establish a harmonised information representation for further analysis. The aim of the work is to develop a mathematical model for the integration of heterogeneous data, which formalises the processes of harmonising information flows of different nature. The paper analyses the characteristics of information flow formation and identifies factors influencing the effectiveness of data integration, in particular varying arrival rates, noise levels and source reliability. A multi-level integration model is proposed, which includes stages of pre-processing, normalisation, harmonisation and the formation of an integrated representation. The results obtained showed that the use of a multi-level approach allows for improved consistency of information flows and a reduction in the impact of noise and uncertainty. The proposed model can be used in data processing and decision support systems within complex information environments. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Electronics & Control Systems is the property of National Aviation University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.18372/1990-5548.88.20968 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 69 Subjects: – SubjectFull: Data integration Type: general – SubjectFull: Data harmonization Type: general – SubjectFull: Electronic data processing Type: general – SubjectFull: Decision support systems Type: general – SubjectFull: Data structures Type: general – SubjectFull: Mathematical models Type: general – SubjectFull: Signal denoising Type: general – SubjectFull: Metadata Type: general Titles: – TitleFull: MODEL FOR INTEGRATING DIFFERENT TYPES OF DATA IN MULTILEVEL INFORMATION STRUCTURES. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kashkevych, Svitlana – PersonEntity: Name: NameFull: Lastivka, Oleksandr IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19905548 Numbering: – Type: volume Value: 88 – Type: issue Value: 2 Titles: – TitleFull: Electronics & Control Systems Type: main |
| ResultId | 1 |
