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Название: Transparent Data Mining for Big and Small Data
Автор: Tania Cerquitelli
Издательство: Springer
Год: 2017
Страниц: 215
Формат: PDF
Размер: 10 Mb
Язык: English
This book focuses on new and emerging data mining solutions that offer a greater level of transparency than existing solutions. Transparent data mining solutions with desirable properties (e.g. effective, fully automatic, scalable) are covered in the book. Experimental findings of transparent solutions are tailored to different domain experts, and experimental metrics for evaluating algorithmic transparency are presented. The book also discusses societal effects of black box vs. transparent approaches to data mining, as well as real-world use cases for these approaches.