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Transparent Data Mining for Big and Small Data
other
Editor(s):
Tania Cerquitelli
,
Daniele Quercia
,
Frank Pasquale
Publication date
(Print):
2017
Publisher:
Springer International Publishing
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ISBN (Print):
978-3-319-54023-8
ISBN (Electronic):
978-3-319-54024-5
Publication date (Print):
2017
DOI:
10.1007/978-3-319-54024-5
SO-VID:
36eb8ab8-580a-43d9-b442-8046bc94be67
License:
http://www.springer.com/tdm
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Book chapters
pp. 3
The Tyranny of Data? The Bright and Dark Sides of Data-Driven Decision-Making for Social Good
pp. 95
Learning Interpretable Classification Rules with Boolean Compressed Sensing
pp. 123
Visualizations of Deep Neural Networks in Computer Vision: A Survey
pp. 207
AlgorithmWatch: What Role Can a Watchdog Organization Play in Ensuring Algorithmic Accountability?
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