Meta-analytics/ Steven Simske
Material type: TextPublication details: Elsevier, 2019Description: 340 pISBN: 9780128146231Subject(s): Data miningOnline resources: Click here to access onlineItem type | Current library | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|
e-Books | Central Library, Sikkim University | Not for loan | E-1001 |
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
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