Rule Based Systems for Big Data

A Machine Learning Approach

Autor: Mihaela Cocea, Alexander Gegov, Han Liu

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer International Publishing AG

Dostupnost: Skladem u dodavatele

Odesíláme za 5-8 dnů

2 286 Kč

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

Informace o knize

Autor

Mihaela Cocea, Alexander Gegov, Han Liu

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2016

Stránek

121

EAN

9783319370279

ISBN

3319370278

Enbook ID

18051385

Vydavatel

Springer International Publishing AG

Hmotnost

2175

Rozměry

155 x 235 x 8

Kompletní popis

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

Informace o knize

Kompletní popis

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Zákaznicí kteří koupili tuto knihu koupili také