Self-organising Data Mining

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Author(s): Frank Lemke
Publisher: Books on Demand GmbH
Year: 2000

Language: English
Pages: 225

Contents......Page 3
Preface......Page 5
Models and their application in decision making......Page 9
Relevance and value of forecasts......Page 11
Theory-driven approach......Page 12
Data-driven approach......Page 16
Data Mining......Page 19
References......Page 30
Involvement of users in the data mining process......Page 31
Regression based models......Page 34
Rule based modelling......Page 37
Symbolic modelling......Page 39
Nonparametric models......Page 42
Self-organising data mining......Page 43
References......Page 54
Statistical Learning Networks......Page 57
Induction......Page 61
Principles used in GMDH......Page 63
Model of optimal complexity......Page 70
References......Page 75
Elementary models (neurons)......Page 77
Generation of alternate model variants......Page 78
Nets of active neurons......Page 83
Criteria of model selection......Page 86
Validation......Page 95
References......Page 101
Objective Cluster Analysis......Page 103
Analog Complexing......Page 106
Self-organising Fuzzy Rule Induction......Page 117
Logic based rules......Page 122
References......Page 123
Spectrum of self-organising data mining methods......Page 125
Choice of appropriate modelling methods......Page 126
Application fields......Page 131
Synthesis......Page 140
Software tools......Page 145
References......Page 146
General features......Page 147
Elementary models and active neurons......Page 148
Generation of alternate model variants......Page 149
Criteria of model selection......Page 151
Systems of equations......Page 152
Example: Creating an input-output model......Page 155
Features......Page 159
Example: Creating an Analog Complexing model......Page 160
Fuzzy Rule Induction implementation......Page 163
Fuzzification......Page 164
Rule Induction......Page 165
Defuzzification......Page 166
Example: Creating a fuzzy model......Page 167
The model base - representation and prediction of models......Page 170
Special module: Finance......Page 172
National Economy......Page 177
Stock Prediction......Page 183
Balance Sheet Prediction......Page 191
Sales prediction......Page 195
Solvency Checking......Page 200
Chinese Energy Resources Consumption......Page 204
COD concentration......Page 210
Elbe river......Page 214
Heart Disease......Page 217
U.S. Congressional Voting Behavior......Page 222
References......Page 225