Data Mining and Knowledge Discovery via Logic-Based Methods

Evangelos Triantaphyllou ()
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Evangelos Triantaphyllou: Louisiana State University

in Springer Optimization and Its Applications from Springer, currently edited by Pardalos, Panos, Thai, My T. and Du, Ding-Zhu

Date: 2010
ISBN: 978-1-4419-1630-3
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Chapters in this book:

Ch Chapter 1 Introduction

Evangelos Triantaphyllou

Ch Chapter 10 Data Mining and Knowledge Discovery by Means of Monotone Boolean Functions

Evangelos Triantaphyllou

Ch Chapter 11 Some Application Issues of Monotone Boolean Functions

Evangelos Triantaphyllou

Ch Chapter 12 Mining of Association Rules

Evangelos Triantaphyllou

Ch Chapter 13 Data Mining of Text Documents

Evangelos Triantaphyllou

Ch Chapter 14 First Case Study: Predicting Muscle Fatigue from EMG Signals

Evangelos Triantaphyllou

Ch Chapter 15 Second Case Study: Inference of Diagnostic Rules for Breast Cancer

Evangelos Triantaphyllou

Ch Chapter 16 A Fuzzy Logic Approach to Attribute Formalization: Analysis of Lobulation for Breast Cancer Diagnosis

Evangelos Triantaphyllou

Ch Chapter 17 Conclusions

Evangelos Triantaphyllou

Ch Chapter 2 Inferring a Boolean Function from Positive and Negative Examples

Evangelos Triantaphyllou

Ch Chapter 3 A Revised Branch-and-Bound Approach for Inferring a Boolean Function from Examples

Evangelos Triantaphyllou

Ch Chapter 4 Some Fast Heuristics for Inferring a Boolean Function from Examples

Evangelos Triantaphyllou

Ch Chapter 5 An Approach to Guided Learning of Boolean Functions

Evangelos Triantaphyllou

Ch Chapter 6 An Incremental Learning Algorithm for Inferring Boolean Functions

Evangelos Triantaphyllou

Ch Chapter 7 A Duality Relationship Between Boolean Functions in CNF and DNF Derivable from the Same Training Examples

Evangelos Triantaphyllou

Ch Chapter 8 The Rejectability Graph of Two Sets of Examples

Evangelos Triantaphyllou

Ch Chapter 9 The Reliability Issue in Data Mining: The Case of Computer-Aided Breast Cancer Diagnosis

Evangelos Triantaphyllou

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DOI: 10.1007/978-1-4419-1630-3

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