Rule Based Systems for Big Data: A Machine Learning Approach (Studies in Big Data)

Han Liu, Alexander Gegov, Mihaela Cocea

ISBN 10: 3319370278 / ISBN 13: 9783319370279

Published by Springer 2016-08-23, 2016

About this Item

Seller Inventory # 6666-IUK-9783319370279

Bibliographic Details

• Title: Rule Based Systems for Big Data: A Machine Learning Approach (Studies in Big Data)
• Publisher: Springer 2016-08-23
• Publication Date: 2016
• Language: English
• ISBN 10: 3319370278
• ISBN 13: 9783319370279
• Binding: Paperback
• Condition: New

About this title

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.