Rule Based Systems for Big Data: A Machine Learning Approach - Couverture souple

Livre 8 sur 95: Studies in Big Data

Liu, Han; Gegov, Alexander; Cocea, Mihaela

 
9783319370279: Rule Based Systems for Big Data: A Machine Learning Approach
Couverture souple
ISBN 10 : 3319370278 ISBN 13 : 9783319370279
Editeur : Springer, 2016

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer
Date d'édition
2016
Langue
anglais
ISBN 10 
3319370278
ISBN 13 
9783319370279
Reliure
Broché
Nombre de pages
136
Coordonnées du fabricant
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Allemagne

Autres éditions populaires du même titre

9783319236957: Rule Based Systems for Big Data: A Machine Learning Approach

Edition présentée

ISBN 10 :  3319236954 ISBN 13 :  9783319236957
Editeur : Springer International Publishin..., 2015
Couverture rigide