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Rule Based Systems for Big Data

A Machine Learning Approach

Language EnglishEnglish
Book Hardback
Book Rule Based Systems for Big Data Han Liu
Libristo code: 09493642
Publishers Springer International Publishing AG, September 2015
The ideas introduced in this book explore the relationships among rule based systems, machine learni... Full description
? points 222 b
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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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About the book

Full name Rule Based Systems for Big Data
Author Han Liu, Alexander Gegov, Mihaela Cocea
Language English
Binding Book - Hardback
Date of issue 2015
Number of pages 121
EAN 9783319236957
ISBN 3319236954
Libristo code 09493642
Publishers Springer International Publishing AG
Weight 352
Dimensions 190 x 247 x 319

Categories

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
Computing & Information Technology > Computer science > Artificial intelligence > Expert systems / knowledge-based systems
Computing & Information Technology > Computer science > Artificial intelligence > Machine learning
Technology, Engineering, Agriculture > Technology: general issues > Engineering: general
Computing & Information Technology > Databases > Data mining
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