How can you identify noisy data in data mining?
Data mining is the process of extracting useful information from large and complex datasets. However, not all data is reliable or relevant. Some data may contain errors, outliers, inconsistencies, or irrelevant features that can affect the quality and accuracy of the data analysis. This is called noisy data, and it can reduce the performance and validity of data mining models and algorithms. How can you identify noisy data in data mining? Here are some methods and techniques that can help you detect and handle noisy data.