Produktbild: Rule Based Systems for Big Data

Rule Based Systems for Big Data

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A Machine Learning Approach, Studies in Big Data 13

ISBN: 3319370278
ISBN 13: 9783319370279
Autor: Liu, Han/Gegov, Alexander/Cocea, Mihaela
Verlag: Springer Verlag GmbH
Umfang: xiii, 121 S., 33 s/w Illustr., 5 farbige Illustr., 121 p. 38 illus., 5 illus. in color.
Erscheinungsdatum: 23.08.2016
Auflage: 1/2016
Produktform: Kartoniert
Einband: Kartoniert

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.

Artikelnummer: 2876094 Kategorie:

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E-Mail: juergen.hartmann@springer.com

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