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Rule based systems for big data: a machine learning approach

Research output: Book/ReportMonographpeer-review

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.
Original languageEnglish
Place of PublicationSwitzerland
PublisherSpringer
Number of pages121
Volume13
Edition1
ISBN (Electronic)9783319236964
ISBN (Print)9783319236957
DOIs
Publication statusPublished - 2016

Publication series

NameStudies in Big Data
PublisherSpringer
Volume13
ISSN (Print)2197-6503

Documents

  • BOOK_PREFACE

    Final published version, 44.7 KB, PDF document

    Licence: Unspecified

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