About this document
Dami Lecture2 by mahmud is a document available to read on EtoBox.
The document outlines the data mining process, which includes preprocessing, data mining, and postprocessing, emphasizing the importance of data quality and cleaning. It discusses various types of attribute values and their measurement levels, as well as methods for handling data quality issues such as noise, outliers, and missing values. Additionally, it covers preprocessing techniques like aggregation, sampling, discretization, and attribute transformation to prepare data for analysis.
- Author
- mahmud
- Language
- EN