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Discount Quality for Responsible Data Science: Human-in-the-Loop for Quality Data

Edited by Barbara Pernici, Edited by Tiziana Catarci, Edited by Matteo Palmonari, Edited by Giovanni Simonini

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normal price: R 970.95

Price: R 873.95


| book description |

This open access book presents a “discount”-quality approach to data preparation for scientific data analysis, a critical prerequisite in modern applications such as data analysis projects, Artificial Intelligence, and Machine Learning. It discusses advanced techniques for fostering responsible data science, i.e., designing sustainable data analysis pipelines based on Human-In-The-Loop (HITL) approaches to achieve high-quality data. It investigates developing task- and context-driven sustainable approaches for data preparation, drawing on methods and theories to reduce annotations and processing space and time, and considering the estimation of the necessary human computing effort and the requirements of the specific task. The contributions address key aspects related to data ecosystems, data preparation pipelines, data quality evaluation and improvement, on-demand approaches to data preparation, data enrichment, and human factors in data preparation.

| product details |



Normally shipped | Forthcoming
Publisher | Springer Nature Switzerland AG
Published date | 31 Aug 2026
Language |
Format | Paperback / softback
Pages | 94
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-0322-9480-7
Readership Age |
BISAC | computers / database management / general
Expected | 31 Aug 2026

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Normally shipped | Forthcoming. We are not accepting backorders for this item yet
Readership Age |
Normal Price | R 995.95
Price | R 895.95 | on special |



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