Description
Taylor and Francis Ltd Mechanizing Hypothesis Formation 1st Edition 2022 Softbound by Rauch, Jan
1. Introduction 2. Data Sets SECTION I: THE GUHA PROCEDURES 3. Principle and Simple Examples 4. Common Features 5. LISp-Miner System SECTION II: APPLYING THE GUHA PROCEDURES 6. Examples Overview 7. 4ft-Miner - GUHA Association Rules 8. CF-Miner - Histograms 9. KL-Miner - Pairs of Categorical Attributes 10. SD-4ft-Miner - Couples of GUHA Association Rules 11. SDCF-Miner - Couples of Histograms 12. SDKL-Miner - Couples of Pairs of Categorical Attributes 13. Ac4ft-Miner - Action Rules 14. GUHA Procedures and Business Intelligence 15. CleverMiner - GUHA and Python SECTION III: RELATED RESEARCH AND THEORY 16. Artificial Data Generation and LM ReverseMiner Module 17. Applying Domain Knowledge 18. Observational Calculi