Data Preprocessing in Data Mining /

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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...

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Bibliographic Details
Main Authors: García, Salvador (Author), Herrera, Francisco (Author), Luengo, Julián (Author)
Format: Printed Book
Language:English
Edition:1st ed. 2015.
Series:Intelligent Systems Reference Library, 72
Subjects:
Computational intelligence.
Data mining.
Optical data processing.
Computational Intelligence.
Data Mining and Knowledge Discovery.
Image Processing and Computer Vision.
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.

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