Processing and Analysis of Data from Fiscal Electronic Cash Registers in the Context of IoT and Big Data
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| Pubblicato in: | Studies in Informatics and Control vol. 34, no. 2 (2025), p. 107-117 |
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| Autore principale: | |
| Altri autori: | , |
| Pubblicazione: |
National Institute for Research and Development in Informatics
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| Accesso online: | Citation/Abstract Full Text - PDF |
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| 024 | 7 | |a 10.24846/v34i2y202510 |2 doi | |
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| 045 | 2 | |b d20250101 |b d20251231 | |
| 100 | 1 | |a BARBU, Dragoș-Cătălin | |
| 245 | 1 | |a Processing and Analysis of Data from Fiscal Electronic Cash Registers in the Context of IoT and Big Data | |
| 260 | |b National Institute for Research and Development in Informatics |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a This paper proposes a framework for processing and analysing fiscal data from electronic cash registers using Big Data and IoT. The system is designed for handling large volumes of transactional data by integrating data collection, cleaning, transformation, and analysis through a modular architecture based on microservices, distributed messaging, and both relational and NoSQL databases. Before carrying out the data analysis, the missing or inconsistent values are addressed using regression models, which enhances data quality. In order to contribute to anomaly detection in fiscal activities, the proposed platform supports statistical analysis, time series analysis, and pattern recognition. Real-world data-based tests revealed that the proposed technological solution can help the tax authorities track data compliance and increase the effectiveness of fiscal data operations. | |
| 653 | |a Big Data | ||
| 653 | |a Machine learning | ||
| 653 | |a Datasets | ||
| 653 | |a Trends | ||
| 653 | |a Data mining | ||
| 653 | |a Decision making | ||
| 653 | |a Tax collections | ||
| 653 | |a Data processing | ||
| 653 | |a Taxation | ||
| 653 | |a Data analysis | ||
| 653 | |a Data science | ||
| 653 | |a Compliance | ||
| 653 | |a Algorithms | ||
| 653 | |a Informatics | ||
| 653 | |a Research & development--R&D | ||
| 653 | |a Business analytics | ||
| 653 | |a Deadlines | ||
| 653 | |a Tax evasion | ||
| 700 | 1 | |a BÂRA, Adela | |
| 700 | 1 | |a OPREA, Simona-Vasilica | |
| 773 | 0 | |t Studies in Informatics and Control |g vol. 34, no. 2 (2025), p. 107-117 | |
| 786 | 0 | |d ProQuest |t Publicly Available Content Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3260259674/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3260259674/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |