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Sinopsis
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.
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De la contraportada
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.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Rule Based Systems for Big Data (eng)
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Rule Based Systems for Big Data : A Machine Learning Approach
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Rule Based Systems for Big Data : A Machine Learning Approach
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Rule Based Systems for Big Data
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Springer International Publishing Aug 2016, 2016
ISBN 10: 3319370278
ISBN 13: 9783319370279
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 136 pp. Englisch. Nº de ref. del artículo: 9783319370279
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Rule Based Systems for Big Data : A Machine Learning Approach
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Rule Based Systems for Big Data
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a novel theory of rule based systems in machine learning contextIntroduces ways of big data processing by rule learning algorithms for knowledge discovery and predictive modelling in classification tasksFocuses on introducing effec. Nº de ref. del artículo: 448747983
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Rule Based Systems for Big Data: A Machine Learning Approach: 13 (Studies in Big Data)
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Rule Based Systems for Big Data : A Machine Learning Approach
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783319370279
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Rule Based Systems for Big Data | A Machine Learning Approach
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Taschenbuch. Condición: Neu. Rule Based Systems for Big Data | A Machine Learning Approach | Han Liu (u. a.) | Taschenbuch | Studies in Big Data | xiii | Englisch | 2016 | Springer | EAN 9783319370279 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Nº de ref. del artículo: 109581600
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Rule Based Systems for Big Data
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Springer, Palgrave Macmillan Aug 2016, 2016
ISBN 10: 3319370278
ISBN 13: 9783319370279
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 136 pp. Englisch. Nº de ref. del artículo: 9783319370279
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