Rule Based Systems for Big Data

A Machine Learning Approach

Автор: Mihaela Cocea, Alexander Gegov, Han Liu

Език:

Корици: С меки корици

Издател: Springer International Publishing AG

Наличност: Външен склад

Изпращаме след 5-8 дни

105.43 € 206.21 лв

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

Информация за книгата

Автор

Mihaela Cocea, Alexander Gegov, Han Liu

Език

Английски език

Корици

Книга - С меки корици

Издадена

2016

страници

121

EAN

9783319370279

ISBN

3319370278

Enbook ID

18051385

Издател

Springer International Publishing AG

Теглоt

2175

Размери

155 x 235 x 8

Пълно описание

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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