Transparent Data Mining for Big and Small Data (Paperback, Softcover reprint of the original 1st ed. 2017)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Big Data, 32
Release date:	July 2018
First published:	2017
Editors:	Tania Cerquitelli • Daniele Quercia • Frank Pasquale
Dimensions:	235 x 155 x 13mm (L x W x T)
Format:	Paperback
Pages:	215
Edition:	Softcover reprint of the original 1st ed. 2017
ISBN-13:	978-3-319-85299-7
Categories:	Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory Books > Business & Economics > Business & management > Business mathematics & systems > General Books > Law > Laws of other jurisdictions & general law > Social law > General Books > Computing & IT > Applications of computing > Databases > Data mining
LSN:	3-319-85299-X
Barcode:	9783319852997

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