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Transparent Data Mining for Big and Small Data

Name: Transparent Data Mining for Big and Small Data
Brand: Springer International Publishing AG
SKU: 15789112
Price: 143.71 EUR
Availability: InStock
Author: Tania Cerquitelli
ISBN: 9783319540238

Tania Cerquitelli

Daniele Quercia

Frank Pasquale

Language

English

Book Hardback

Libristo code: 15789112

Publishers Springer International Publishing AG, May 2017

This book focuses on new and emerging data mining solutions that offer a greater level of transparen... Full description

Libristo code: 15789112

349 b

143.71 €

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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. As algorithms increasingly support different aspects of modern life, a greater level of transparency is sorely needed, not least because discrimination and biases have to be avoided. With contributions from domain experts, this book provides an overview of an emerging area of data mining that has profound societal consequences, and provides the technical background to for readers to contribute to the field or to put existing approaches to practical use.