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Rule Based Systems for Big Data - A Machine Learning Approach

Englisch · Taschenbuch

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Beschreibung

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The ideas introduced in this book explore the relationships among rule based systems, machine learning and big data. Rule based systems are seen as a special type of expert systems, which can be built by using expert knowledge or learning from real data.
The book focuses on the development and evaluation of rule based systems in terms of accuracy, efficiency and interpretability. In particular, a unified framework for building rule based systems, which consists of the operations of rule generation, rule simplification and rule representation, is presented. Each of these operations is detailed using specific methods or techniques. In addition, this book also presents some ensemble learning frameworks for building ensemble rule based systems.

Inhaltsverzeichnis

Introduction.- Theoretical Preliminaries.- Generation of Classification Rules.- Simplification of Classification Rules.- Representation of Classification Rules.- Ensemble Learning Approaches.- Interpretability Analysis.

Zusammenfassung

The ideas introduced in this book explore the relationships among rule based systems, machine learning and big data. Rule based systems are seen as a special type of expert systems, which can be built by using expert knowledge or learning from real data.
The book focuses on the development and evaluation of rule based systems in terms of accuracy, efficiency and interpretability. In particular, a unified framework for building rule based systems, which consists of the operations of rule generation, rule simplification and rule representation, is presented. Each of these operations is detailed using specific methods or techniques. In addition, this book also presents some ensemble learning frameworks for building ensemble rule based systems.

Zusatztext

“The text is easily readable and nicely organized, deploying gradually the most important aspects encountered in the theory and practice of rule-based systems. … the book is recommended to researchers and practitioners who wish to apply sound methods for understanding and exploiting their big data, and for those who plan to direct their research toward rule-based methodologies.” (Lefteris Angelis, Computing Reviews, computingreviews.com, May, 2016)

Bericht

"The text is easily readable and nicely organized, deploying gradually the most important aspects encountered in the theory and practice of rule-based systems. ... the book is recommended to researchers and practitioners who wish to apply sound methods for understanding and exploiting their big data, and for those who plan to direct their research toward rule-based methodologies." (Lefteris Angelis, Computing Reviews, computingreviews.com, May, 2016)

Produktdetails

Autoren Mihaela Cocea, Alexande Gegov, Alexander Gegov, Ha Liu, Han Liu
Verlag Springer, Berlin
 
Sprache Englisch
Produktform Taschenbuch
Erschienen 01.01.2016
 
EAN 9783319370279
ISBN 978-3-31-937027-9
Seiten 121
Abmessung 154 mm x 236 mm x 8 mm
Gewicht 221 g
Illustration XIII, 121 p. 38 illus., 5 illus. in color.
Serien Studies in Big Data
Studies in Big Data
Themen Naturwissenschaften, Medizin, Informatik, Technik > Technik > Allgemeines, Lexika

B, machine learning, Data Mining, Artificial Intelligence, Wissensbasierte Systeme, Expertensysteme, engineering, Data Mining and Knowledge Discovery, Computational Intelligence, Expert systems / knowledge-based systems, Overfitting, Rule Based Systems, Rule Based Classification

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