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Research in Data Science (Association for Women in Mathematics Series)

By: Carlotta Domeniconi (Edited by) , Ellen Gasparovic (Edited by)

Extended Catalogue

Ksh 18,250.00

Format: Hardback or Cased Book

ISBN-10: 3030115658

ISBN-13: 9783030115654

Collection / Series: Association for Women in Mathematics Series

Collection Type: Publisher collection

Edition statement: 2019 ed.

Publisher: Springer Nature Switzerland AG

Imprint: Springer Nature Switzerland AG

Country of Manufacture: CH

Country of Publication: GB

Publication Date: Apr 2nd, 2019

Publication Status: Active

Product extent: 297 Pages

Product Classification / Subject(s): Mathematical theory of computation

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This edited volume on data science features a variety of research ranging from theoretical to applied and computational topics.
This edited volume on data science features a variety of research ranging from theoretical to applied and computational topics. Aiming to establish the important connection between mathematics and data science, this book addresses cutting edge problems in predictive modeling, multi-scale representation and feature selection, statistical and topological learning, and related areas.  Contributions study topics such as the hubness phenomenon in high-dimensional spaces, the use of a heuristic framework for testing the multi-manifold hypothesis for high-dimensional data, the investigation of interdisciplinary approaches to multi-dimensional obstructive sleep apnea patient data, and the inference of a dyadic measure and its simplicial geometry from binary feature data. 
Based on the first Women in Data Science and Mathematics (WiSDM) Research Collaboration Workshop that took place in 2017 at the Institute for Compuational and Experimental Research in Mathematics (ICERM) in Providence, Rhode Island, this volume features submissions from several of the working groups as well as contributions from the wider community.  The volume is suitable for researchers in data science in industry and academia. 

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