Abstract: For the analytics around analytics, we consider the definition of meta that means “more comprehensive and transcending.” We go beyond the meta-analytics that are systems hybridizing two or more analytics, such as predictive selection and reinforcement-void. Here, we describe how to optimize the settings for analytics from the training data, how to use expectation-maximization analytics to optimize systems and system settings, and how to generate functional measurements of the effectiveness of analytics in their purported roles.
Publication Year: 2019
Publication Date: 2019-01-01
Language: en
Type: book-chapter
Indexed In: ['crossref']
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