Description
Taylor and Francis Ltd Mechanizing Hypothesis Formation 1st Edition 2022 Hardbound by Rauch, Jan
Introduces the GUHA method of mechanizing hypothesis formation as a data mining tool. Presents examples of data mining with enhanced association rules, histograms, contingency tables and action rules.Provides examples of data mining for exception rules and examples of subgroups discovery. Outlines possibilities of GUHA in business intelligence and big data. Overviews related theoretical results and challenges related to mechanizing hypothesis formation. 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