ENHANCING INFORMATION RELIABILITY USING STATISTICAL RELATIONSHIPS OF ELECTRONIC DOCUMENT ELEMENTS: DEVELOPMENT OF ALGORITHMS AND SOFTWARE TOOLS
Keywords:
electronic documents, information reliability, statistical relationships, data integrity, algorithms, software tools, anomaly detectionAbstract
In modern information systems, electronic documents serve as the primary medium for data storage, transmission, and decision-making processes. Ensuring the reliability of information contained in electronic documents is a critical task, especially in domains such as e-government, digital archives, financial reporting, and legal documentation. This article examines methods for improving information reliability by utilizing statistical relationships among electronic document elements. The study focuses on the development of algorithms and software tools that detect inconsistencies, anomalies, and structural deviations within electronic documents based on statistical dependency analysis. Statistical correlation, probabilistic modeling, and pattern consistency evaluation are employed to enhance data integrity and trustworthiness. The results demonstrate that the application of statistical linkage analysis significantly increases the accuracy of reliability assessment and reduces the risk of erroneous or manipulated information in electronic document systems.
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