
Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques
Springer (Publisher)
Published on 21. June 2006
Book
Hardback
XLVIII, 748 pages
978-0-387-34294-8 (ISBN)
Description
2. Some Background Information 49 3. Definitions and Terminology 52 4. The One Clause at a Time (OCAT) Approach 54 4. 1 Data Binarization 54 4. 2 The One Clause at a Time (OCAT) Concept 58 4. 3 A Branch-and-Bound Approach for Inferring Clauses 59 4. 4 Inference of the Clauses for the Illustrative Example 62 4. 5 A Polynomial Time Heuristic for Inferring Clauses 65 5. A Guided Learning Approach 70 6. The Rejectability Graph of Two Collections of Examples 72 6. 1 The Definition of the Rej ectability Graph 72 6. 2 Properties of the Rejectability Graph 74 6. 3 On the Minimum Clique Cover of the Rej ectability Graph 76 7. Problem Decomposition 77 7. 1 Connected Components 77 7. 2 Clique Cover 78 8. An Example of Using the Rejectability Graph 79 9. Conclusions 82 References 83 Author's Biographical Statement 87 Chapter 3 AN INCREMENTAL LEARNING ALGORITHM FOR INFERRING LOGICAL RULES FROM EXAMPLES IN THE FRAMEWORK OF THE COMMON REASONING PROCESS, by X. Naidenova 89 1. Introduction 90 2. A Model of Rule-Based Logical Inference 96 2. 1 Rules Acquired from Experts or Rules of the First Type 97 2. 2 Structure of the Knowledge Base 98 2. 3 Reasoning Operations for Using Logical Rules of the First Type 100 2. 4 An Example of the Reasoning Process 102 3. Inductive Inference of Implicative Rules From Examples 103 3.
More details
Series
Edition
2006 ed.
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Product notice
sewn/stitched
Cloth over boards
Illustrations
6 s/w Abbildungen
XLVIII, 748 p. 6 illus.
Dimensions
Height: 245 mm
Width: 164 mm
Thickness: 43 mm
Weight
1320 gr
ISBN-13
978-0-387-34294-8 (9780387342948)
DOI
10.1007/0-387-34296-6
Schweitzer Classification
Other editions
Additional editions

Evangelos Triantaphyllou | Giovanni Felici
Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques
Book
02/2011
Springer
€213.99
Shipment within 15-20 days

Evangelos Triantaphyllou | Giovanni Felici
Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques
E-Book
09/2006
1st Edition
Springer
€213.99
Available for download
Content
A Common Logic Approach to Data Mining and Pattern Recognition.- The One Clause at a Time (OCAT) Approach to Data Mining and Knowledge Discovery.- An Incremental Learning Algorithm for Inferring Logical Rules from Examples in the Framework of the Common Reasoning Process.- Discovering Rules That Govern Monotone Phenomena.- Learning Logic Formulas and Related Error Distributions.- Feature Selection for Data Mining.- Transformation of Rational Data and Set Data to Logic Data.- Data Farming: Concepts and Methods.- Rule Induction Through Discrete Support Vector Decision Trees.- Multi-Attribute Decision Trees and Decision Rules.- Knowledge Acquisition and Uncertainty in Fault Diagnosis: A Rough Sets Perspective.- Discovering Knowledge Nuggets with a Genetic Algorithm.- Diversity Mechanisms in Pitt-Style Evolutionary Classifier Systems.- Fuzzy Logic in Discovering Association Rules: An Overview.- Mining Human Interpretable Knowledge with Fuzzy Modeling Methods: An Overview.- Data Mining from Multimedia Patient Records.- Learning to Find Context Based Spelling Errors.- Induction and Inference with Fuzzy Rules for Textual Information Retrieval.- Statistical Rule Induction in the Presence of Prior Information: The Bayesian Record Linkage Problem.- Some Future Trends in Data Mining.