The preprocessing phase can be broken down into several key steps:
Data Collection: Gathering raw data from various sources. Data Cleaning: Removing errors, duplicates, and inconsistencies. Data Transformation: Converting data into a suitable format for analysis, such as normalizing or aggregating data. Data Integration: Combining data from different sources to provide a unified view. Data Reduction: Simplifying the data by reducing its volume while maintaining its integrity.