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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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Price: R 939.95

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ThisÂ open accessÂ book presentsÂ a â€œdiscountâ€-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 investigatesÂ 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 contributionsÂ 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.

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