Téléchargez le livre : Advances in Data Science

Advances in Data Science

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Éditeur :

Springer


Collection :

Association for Women in Mathematics Series

Paru le : 2021-12-03

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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.
Pages
364 pages
Collection
Association for Women in Mathematics Series
Parution
2021-12-03
Marque
Springer
EAN papier
9783030798901
EAN PDF
9783030798918
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
36
Taille du fichier
14776 Ko
Prix
126,59 €
EAN EPUB
9783030798918
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
36
Taille du fichier
67953 Ko
Prix
126,59 €

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