Rule Based Systems for Big Data

A Machine Learning Approach

Autor: Mihaela Cocea, Alexander Gegov, Han Liu

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Legare: Carte broșată

Editura: Springer International Publishing AG

Disponibilitate: În depozitul extern

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The ideas introduced in this book explore the relationships among rule based systems, machine learni...

Informații despre carte

Autor

Mihaela Cocea, Alexander Gegov, Han Liu

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2016

Pagini

121

EAN

9783319370279

ISBN

3319370278

Enbook ID

18051385

Editura

Springer International Publishing AG

Greutate

2175

Dimensiuni

155 x 235 x 8

Descriere completă

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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Rule Based Systems for Big Data

A Machine Learning Approach

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