This article discusses the design of a dynamic document template generation system based on existing documents and rule-based mechanisms. Methods of automating document workflows and generating flexible document templates tailored to organizational needs using Machine Learning (ML) and rule-based systems are analyzed. The mathematical model of document generation, clustering and classification algorithms, information system architecture, and component diagrams are developed. The system enables workflow optimization, human resource savings, and automatic document generation improvement.
| Mualliflar | Самандаров, Батирбек, Акбаралиев, Бахтиёржон, Холиқназаров, Рашиджон, Гулмирзаева, Гузал |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2025-03-23 |
| Son | 1 |
| Betlar | 76-82 |
| Til | Rus |
шаблоны документов, динамическое формирование, машинное обучение, архитектура информационной системы, документооборот, document templates, dynamic generation, machine learning, information system architecture, document workflow, hujjat andozalari, dinamik generatsiya, mashinali o‘qitish, axborot tizimi arxitekturasi, hujjat aylanmasi
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