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Advances in Data Science

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Description

This volume highlights recent advances in data science, including image processing and enhancement on large data, shape analysis and geometry processing in 2D/3D, exploration and understanding of neural networks, and extensions to atypical data types such as social and biological signals. The contributions are based on discussions from two workshops under Association for Women in Mathematics (AWM), namely the second Women in Data Science and Mathematics (WiSDM) Research Collaboration Workshop that took place between July 29 and August 2, 2019 at the Institute for Computational and Experimental Research in Mathematics (ICERM) in Providence, Rhode Island, and the third Women in Shape (WiSh) Research Collaboration Workshop that took place between July 16 and 20, 2018 at Trier University in Robert-Schuman-Haus, Trier, Germany. These submissions, seeded by working groups at the conference, form a valuable source for readers who are interested in ideas and methods developed in interdisciplinary research fields. The book features ideas, methods, and tools developed through a broad range of domains, ranging from theoretical analysis on graph neural networks to applications in health science. It also presents original results tackling real-world problems that often involve complex data analysis on large multi-modal data sources.
Release date NZ
November 30th, 2022
Audience
  • Professional & Vocational
Contributors
  • Edited by Ilke Demir
  • Edited by Kathrin Welker
  • Edited by Xu Wang
  • Edited by Yifei Lou
Edition
1st ed. 2021
Illustrations
166 Illustrations, color; 19 Illustrations, black and white; XX, 364 p. 185 illus., 166 illus. in color.
Pages
364
ISBN-13
9783030798932
Product ID
36080310

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