long with summarizing and reviewing the latest efforts in DQM in IoT-based systems, we shed light on their strong and weak points and discuss upcoming trends and potential difficulties in IoT data management.
This tutorial survey provides a comprehensive review of current IoT data handling advances, focusing on data quality management (DQM). The article starts with the key aspects of IoT...
This paper surveys data quality frameworks and methodologies for IoT data, and related international standards, comparing them in terms of data types, data quality definitions, dimensions and metrics, and the choice of assessment dimensions.
Furthermore, visual representations like the one above help us fully grasp the concept of Public Wi-Fi Network Iot Data Quality Management.
The comprehensive overview provides a nuanced understanding of the factors influencing data quality and highlights the contributions of various researchers to ensure data quality.
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is important to note that current IoT data categories are not many. Concerning existing IoT data quality dimensions, issues, and categories, we proposed a new category and separate IoT data quality dimensions
