Rule Based Systems for Big Data : A Machine Learning Approach
Han. Liu
Bok Engelsk 2015 · Electronic books.
| Annen tittel | |
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| Utgitt | Cham : : Springer International Publishing, , 2015.
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| Omfang | 1 online resource (127 p.)
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| Utgave | 1st ed. 2015.
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| Opplysninger | Description based upon print version of record.. - Preface; Acknowledgments; Contents; 1 Introduction; 1.1 Background of Rule Based Systems; 1.2 Categorization of Rule Based Systems; 1.3 Ensemble Learning; 1.4 Chapters Overview; References; 2 Theoretical Preliminaries; 2.1 Discrete Mathematics; 2.2 Probability Theory; 2.3 If-then Rules; 2.4 Algorithms; 2.5 Logic; 2.6 Statistical Measures; 2.7 Single Rule Based Classification Systems; 2.8 Ensemble Rule Based Classification Systems; References; 3 Generation of Classification Rules; 3.1 Divide and Conquer; 3.2 Separate and Conquer; 3.3 Illustrative Example; 3.4 Discussion; References. - 4 Simplification of Classification Rules4.1 Pruning of Decision Trees; 4.2 Pruning of If-Then Rules; 4.3 Illustrative Examples; 4.4 Discussion; References; 5 Representation of Classification Rules; 5.1 Decision Trees; 5.2 Linear Lists; 5.3 Rule Based Networks; 5.4 Discussion; References; 6 Ensemble Learning Approaches; 6.1 Parallel Learning; 6.2 Sequential Learning; 6.3 Hybrid Learning; 6.4 Discussion; References; 7 Interpretability Analysis; 7.1 Learning Strategy; 7.2 Data Size; 7.3 Model Representation; 7.4 Human Characteristics; 7.5 Discussion; References; 8 Case Studies. - 8.1 Overview of Big Data8.2 Impact on Machine Learning; 8.3 Case Study I-Rule Generation; 8.4 Case Study II-Rule Simplification; 8.5 Case Study III-Ensemble Learning; References; 9 Conclusion; 9.1 Theoretical Significance; 9.2 Practical Importance; 9.3 Methodological Impact; 9.4 Philosophical Aspects; 9.5 Further Directions; References; Appendix 1: List of Acronyms; Appendix 2: Glossary; Appendix 3: UML Diagrams; Appendix 4: Data Flow Diagram. - 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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| Dewey | |
| ISBN | 9783319236957
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