Mathew Responsible Data Science

Responsible Data Science

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Select Proceedings of ICDSE 2021

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Beschreibung

This book comprises select proceedings of the 7th International Conference on Data Science and Engineering (ICDSE 2021). The contents of this book focus on responsible data science. This book tries to integrate research across diverse topics related to data science, such as fairness, trust, ethics, confidentiality, transparency, and accuracy. The chapters in this book represent research from different perspectives that offer novel theoretical implications that span multiple disciplines. The book will serve as a reference resource for researchers and practitioners in academia and industry.


This book comprises select proceedings of the 7th International Conference on Data Science and Engineering (ICDSE 2021). The contents of this book focus on responsible data science. This book tries to integrate research across diverse topics related to data science, such as fairness, trust, ethics, confidentiality, transparency, and accuracy. The chapters in this book represent research from different perspectives that offer novel theoretical implications that span multiple disciplines. The book will serve as a reference resource for researchers and practitioners in academia and industry.


Includes latest research in AI and ML on responsible data science Provides immediate reference material to data scientists working in multiple domains Distinguishes new pathways in data science related to unboxing AI algorithms

Autor*in

Jimson Mathew

Themen in »Responsible Data Science«

ICDSE Conference Proceedings ICDSE 2021 Algorithms for Large Data Sets Cluster, Cloud, & Grid Computing Information Discovery & Query processing Peer-to-Peer Algorithms & Networks Machine Learning for Cybersecurity Management of Very Large Data Systems Applications of Deep learning for Cyber security Responsible Data Science Knowledge Engineering Web Engineering

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Details

ISBN: 9789811944536
Verlag: Springer Singapore
Erscheinung: 14.11.2022

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