Rule Based Systems for Big Data

Name: Rule Based Systems for Big Data
Brand: Springer International Publishing AG
SKU: 9783319236957
Price: 105.43 EUR
Availability: InStock

A Machine Learning Approach

Автор: Han Liu, Alexander Gegov, Mihaela Cocea

Език:

Корици: С твърди корици

Издател: Springer International Publishing AG

Наличност: Външен склад

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105.43 € 206.21 лв

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

Информация за книгата

Автор

Han Liu, Alexander Gegov, Mihaela Cocea

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2015

страници

121

EAN

9783319236957

ISBN

3319236954

Enbook ID

09493642

Издател

Springer International Publishing AG

Теглоt

352

Размери

190 x 247 x 319

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

Информация за книгата

Пълно описание

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