Rule Based Systems for Big Data: A Machine Learning...

Rule Based Systems for Big Data: A Machine Learning Approach

Han Liu, Alexander Gegov, Mihaela Cocea
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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.

年:
2015
版:
1st
出版社:
Springer International Publishing
言語:
english
ページ:
127
ISBN 10:
3319236954
ISBN 13:
9783319236957
シリーズ:
Studies in Big Data 13
ファイル:
PDF, 2.80 MB
IPFS:
CID , CID Blake2b
english, 2015
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