Rule Based Systems for Big Data A Machine Learning Approach

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 evalu...

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Bibliographic Details
Main Authors: Liu, Han, Gegov, Alexander (Author), Cocea, Mihaela (Author)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2016, 2016
Edition:1st ed. 2016
Series:Studies in Big Data
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Introduction
  • Theoretical Preliminaries
  • Generation of Classification Rules
  • Simplification of Classification Rules
  • Representation of Classification Rules
  • Ensemble Learning Approaches
  • Interpretability Analysis