Introduction to Data Preprocessing and its Types
What is Data preprocessing? Data preprocessing is a data mining technique that involves transforming incomplete, inconsistent, and/or noisy data which increase chances of error and misinterpretation, into an understandable format. Incomplete: Lacking attribute values, lacking certain attributes of interest, or containing only aggregate data. E.g., occupation = “” Noisy: NoisyRead More →