Rule Based Systems for Big Data

A Machine Learning Approach

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Database Management, General Computing
Cover of the book Rule Based Systems for Big Data by Han Liu, Alexander Gegov, Mihaela Cocea, Springer International Publishing
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Author: Han Liu, Alexander Gegov, Mihaela Cocea ISBN: 9783319236964
Publisher: Springer International Publishing Publication: September 9, 2015
Imprint: Springer Language: English
Author: Han Liu, Alexander Gegov, Mihaela Cocea
ISBN: 9783319236964
Publisher: Springer International Publishing
Publication: September 9, 2015
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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