Mueller, Johann-Adolf; Lemke, Frank
Self-Organising Data Mining An Intelligent Approach To Extract Knowledge From Data
Contents
Preface
Chapter 1. Knowledge Discovery from Data 9
1.1 Models and their application in decision making
1.2 Relevance and value of forecasts
1.3 Theory driven approach
1.4 Data driven approach
1.5 Data mining
References
Chapter 2. Self-organising Data Mining 31
2.1 Involvement of users in the data mining process
2.2 Automatic model generation
• regression based models
• rule based modelling
• symbolic modelling
• nonparametric models
2.3 Self-organising data mining
References
Chapter 3. Self-organising Modelling Technologies 57
3.1 Statistical Learning Networks
3.2 Inductive approach - The GMDH method
• induction
• principles
• model of optimal complexity
References
Chapter 4. Parametric GMDH Algorithms 77
4.1 Elementary models (neurons)
4.2 Generation of alternate model variants
4.3 Nets of active neurons
4.4 Criteria of model selection
4.5 Validation
References
Chapter 5. Nonparametric Algorithms 103
5.1 Objective Cluster Analysis
5.2 Analog Complexing
5.3 Self-organising Fuzzy Rule Induction
5.4 Logic based rules
References
Contents 3
Chapter 6. Application of Self-organising Data Mining 125
6.1 Spectrum of self-organising data mining methods
6.2 Choice of appropriate modelling methods
6.3 Application fields
6.4 Synthesis
6.5 Software tools
References
Chapter 7. KnowledgeMiner 147
7.1 General features
7.2 GMDH implementations
• elementary models and active neurons
• generation of alternate model variants
• criteria of model selection
• systems of equations
7.3 Analog Complexing implementation
• features
• example
7.4 Fuzzy Rule Induction implementation
• fuzzification
• rule induction
• defuzzification
• example
7.5 Using models
• the model base
• finance module
Chapter 8. Sample Applications 177
8.1 From Economics
• national economy
• stock prediction
• balance sheet
• sales prediction
• solvency checking
• energy consumption
8.2 From Ecology
• water pollution
• water quality
8.3 From other Fields
• heart disease
• U.S. congressional voting behavior
References