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"item_title" : "Rule Based Systems for Big Data",
"item_author" : [" Han Liu", "Alexander Gegov", "Mihaela Cocea "],
"item_description" : "Introduction.- Theoretical Preliminaries.- Generation of Classification Rules.- Simplification of Classification Rules.- Representation of Classification Rules.- Ensemble Learning Approaches.- Interpretability Analysis.",
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Rule Based Systems for Big Data : A Machine Learning Approach
Overview
Introduction.- Theoretical Preliminaries.- Generation of Classification Rules.- Simplification of Classification Rules.- Representation of Classification Rules.- Ensemble Learning Approaches.- Interpretability Analysis.
This item is Non-Returnable
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Details
- ISBN-13: 9783319370279
- ISBN-10: 3319370278
- Publisher: Springer
- Publish Date: August 2016
- Dimensions: 9.21 x 6.14 x 0.29 inches
- Shipping Weight: 0.44 pounds
- Page Count: 121
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