{
"item_title" : "Data Preprocessing in Data Mining",
"item_author" : [" Salvador García", "Julián Luengo", "Francisco Herrera "],
"item_description" : "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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Data Preprocessing in Data Mining
Overview
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.
This item is Non-Returnable
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Details
- ISBN-13: 9783319377315
- ISBN-10: 3319377310
- Publisher: Springer
- Publish Date: September 2016
- Dimensions: 9.21 x 6.14 x 0.7 inches
- Shipping Weight: 1.04 pounds
- Page Count: 320
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