Data Preprocessing Questions
Data fusion refers to the process of combining multiple data sources or datasets to create a unified and comprehensive dataset. It involves integrating data from different sources, such as sensors, databases, or surveys, to obtain a more accurate and complete representation of the underlying phenomenon or problem. Data fusion techniques aim to eliminate redundancies, resolve inconsistencies, and enhance the quality and reliability of the data. This integrated dataset can then be used for various data analysis and decision-making tasks.