Unit 2 Data Preprocessing Techniques - Latest Information & Updates 2026

Web Reference: Data can be smoothed by fitting the data to a function, such as with linear regression involves finding the best line to fit two attributes. Multiple linear regression is an extension, where more than two attributes are involved and the data are fit to a multidimensional surface. Data Pre-processing: Data Preprocessing: An Overview, Data Cleaning, Data Integration, Data Reduction, Data Transformation and Data Discretization. Data preprocessing describes any type of processing performed on raw data to prepare it for another processing procedure. Managing categorical attributes can be tricky. Entity identification problem: identify real world entities from multiple data sources, e.g., A.cust‐id B.cust‐# e.g., a customer in a phone calling data warehouse.

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