Rule Based Systems for Big Data

A Machine Learning Approach de

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Éditeur :

Springer


Collection :

Studies in Big Data

Paru le : 2015-09-09

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Description

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.
Pages
121 pages
Collection
Studies in Big Data
Parution
2015-09-09
Marque
Springer
EAN papier
9783319236957
EAN PDF
9783319236964

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
12
Taille du fichier
2898 Ko
Prix
94,94 €
EAN EPUB
9783319236964

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
12
Taille du fichier
1157 Ko
Prix
94,94 €