Rule Based Systems for Big Data

Name: Rule Based Systems for Big Data
Brand: Springer International Publishing AG
SKU: 9783319236957
Price: 553.26 RON
Availability: InStock

A Machine Learning Approach

Autor: Han Liu, Alexander Gegov, Mihaela Cocea

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Legare: Copertă tare

Editura: Springer International Publishing AG

Disponibilitate: În depozitul extern

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553.26 lei

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

Informații despre carte

Autor

Han Liu, Alexander Gegov, Mihaela Cocea

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2015

Pagini

121

EAN

9783319236957

ISBN

3319236954

Enbook ID

09493642

Editura

Springer International Publishing AG

Greutate

352

Dimensiuni

190 x 247 x 319

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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