About this document
Data Preprocessing in Data Mining by Obaid Amir is a document available to read on EtoBox.
The document discusses data pre-processing in data mining, emphasizing the importance of data cleaning, integration, and reduction to ensure data quality. It outlines various types of anomalies such as syntactically and semantically dirty data, as well as coverage issues like missing attributes and records. The document also covers techniques for handling missing and noisy data, along with strategies for dimensionality reduction and data transformation.
- Author
- Obaid Amir
- Language
- EN