Rule Based Systems for Big Data : A Machine Learning Approach

Name: Rule Based Systems for Big Data
Brand: Springer International Publishing AG
SKU: 9783319370279
Price: 16200 KES
Availability: OutOfStock
ISBN: 9783319370279

Softcover reprint of the original 1st ed. 2016

by Alexander Gegov , Han Liu , Mihaela Cocea

Book Details

Format Paperback / softback

Book Series Studies in Big Data

ISBN-10 3319370278

ISBN-13 9783319370279

Edition Softcover reprint of the original 1st ed. 2016

Publisher Springer International Publishing AG

Imprint Springer International Publishing AG

Country of Manufacture CH

Country of Publication GB

Publication Date Aug 23rd, 2016

Print length 121 Pages

Product Classification: Data mining Artificial intelligence Artificial intelligence (AI)Expert systems / knowledge-based systems

KSh 16,200.00

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The ideas introduced in this book explore the relationships among rule based systems, machine learning and big data. 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.

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.

Get Rule Based Systems for Big Data by Alexander Gegov, Han Liu at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer International Publishing AG and it has 121 pages.