Meta-analytics : consensus approaches and system patterns for data analysis /: consensus approaches and system patterns for data analysis. (2019)

• Record Type: Book
• Further Information: Note: Steven Simske.
• Authors: Simske, Steven J
• Contents: 1. Ground truthing; 2. Experiment design; 3. Meta-Analytic design patterns; 4. Sensitivity analysis and big system engineering; 5. Multi-path predictive selection; 6. Modeling and model fitting: including Antibody model, stem-differentiated cell model, and chemical, physical and environmental models for greater diversity in form; 7. Synonym-antonym and Reinforce-Void patterns and their value in data consensus, data anonymization, and data normalization; 8. Meta-analytics as analytics around analytics (functional metrics, entropy, EM). Ingesting statistical approaches for specific domains and generalizing them for data hybrid systems; 9. System design optimization (entropy, error variance, coupling minimization F-score); 10. Aleatory techniques/expert system techniques…tie to ground truthing and error testing; 11. Applications: machine translation, robotics, biological and social sciences, medical and healthcare informatics, economics, business and finance; 12. Discussion and Conclusions, and the Future of Data
• Publisher Details: Amsterdam : Morgan Kaufmann
• Publication Date: 2019
• Extent: 1 online resource
• Subjects: 006.31; Machine learning
• Languages: English
• ISBNs: 9780128146248
• Related ISBNs: 9780128146231
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.