Meta-analytics/
Simske, Steven
Meta-analytics/ Steven Simske - Elsevier, 2019. - 340 p.
Chapter 1 - Introduction, overview, and applications
Chapter 2 - Ground truthing
Chapter 3 - Experimental design
Chapter 4 - Meta-analytic design patterns
Chapter 5 - Sensitivity analysis and big system engineering
Chapter 6 - Multipatch predictive selection
Chapter 7 - Modeling and model fitting
Chapter 8 - Synonym-antonym and reinforce-void patterns
Chapter 9 - Analytics around analytics
Chapter 10 - System design optimization
Chapter 11 - Aleatory and expert system techniques
Chapter 12 - Application I: Topics and challenges in machine translation, robotics, and biological sciences
Chapter 13 - Application II: Medical and health-care informatics, economics, business, and finance
Chapter 14 - Discussion, conclusions, and the future of data
9780128146231
Data mining
Meta-analytics/ Steven Simske - Elsevier, 2019. - 340 p.
Chapter 1 - Introduction, overview, and applications
Chapter 2 - Ground truthing
Chapter 3 - Experimental design
Chapter 4 - Meta-analytic design patterns
Chapter 5 - Sensitivity analysis and big system engineering
Chapter 6 - Multipatch predictive selection
Chapter 7 - Modeling and model fitting
Chapter 8 - Synonym-antonym and reinforce-void patterns
Chapter 9 - Analytics around analytics
Chapter 10 - System design optimization
Chapter 11 - Aleatory and expert system techniques
Chapter 12 - Application I: Topics and challenges in machine translation, robotics, and biological sciences
Chapter 13 - Application II: Medical and health-care informatics, economics, business, and finance
Chapter 14 - Discussion, conclusions, and the future of data
9780128146231
Data mining