Data Preprocessing in Data Mining

• Main Authors: García, Salvador (Author), Luengo, Julián (Author), Herrera, Francisco (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Series: Intelligent Systems Reference Library, 72
• Subjects: Engineering.; Data mining.; Image processing.; Computational intelligence.; Computational Intelligence.; Image Processing and Computer Vision.; Data Mining and Knowledge Discovery.

Data Preprocessing for Data Mining addresses one of the most important issues within the well-known Knowledge Discovery from Data process. Data directly taken from the source will likely have inconsistencies, errors or most importantly, it is not ready to be considered for a data mining process. Fur...

Table of Contents:

• Introduction
• Data Sets and Proper Statistical Analysis of Data Mining Techniques
• Data Preparation Basic Models
• Dealing with Missing Values
• Dealing with Noisy Data
• Data Reduction
• Feature Selection
• Instance Selection
• Discretization
• A Data Mining Software Package Including Data Preparation and Reduction: KEEL.