Improving large data quality through machine learning and artificial intelligence techniques: A review
The importance of significant data development and its influential role in managing smart cities has increased dramatically in the past few years. However, in the context of big data, traditional technologies and data platforms are less effective because they are time-consuming. These techniques red...
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Format: | Tagungsbericht |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | The importance of significant data development and its influential role in managing smart cities has increased dramatically in the past few years. However, in the context of big data, traditional technologies and data platforms are less effective because they are time-consuming. These techniques reduce performance, and their accuracy is less than required. This review paper presents recent literature on improving data quality using machine learning and artificial intelligence techniques. The concept of big data, its quality, characteristics, and techniques used to improve quality were extracted and clarified; At the end of the paper. The most prominent methods used to strengthen significant data quality have been discussed in detail, as this field has gained great and continuous interest and development to enhance data quality and provide high performance and efficiency. The automated approach also includes processing and unifying data from various sources and processing structured, unstructured, and even heterogeneous data. The paper may be helpful for researchers in the field of ML and improve the quality of big data. |
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ISSN: | 0094-243X 1551-7616 |
DOI: | 10.1063/5.0169396 |