Association for Women in Mathematics Series

Research in Data Science

Editors: Gasparovic, Ellen, Domeniconi, Carlotta (Eds.)

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  • Highlights the fundamental role of mathematics in the development of data scienceFeatures a diverse range of topics from the theoretical to the applied and computationalBased on the 2017 Women in Data Science and Mathematics (WiSDM) Research Collaboration Workshop 

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イーブック ¥9,546
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-3-030-11566-1
  • ウォーターマーク付、 DRMフリー
  • ファイル形式: EPUB, PDF
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ハードカバー ¥11,933
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-3-030-11565-4
  • 個人のお客様には、世界中どこでも配送料無料でお届けします。
  • Usually dispatched within 3 to 5 business days.
この書籍について

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. 

著者について

Table of contents (12 chapters)

Table of contents (12 chapters)
  • Sparse Randomized Kaczmarz for Support Recovery of Jointly Sparse Corrupted Multiple Measurement Vectors

    Pages 1-14

    Durgin, Natalie (et al.)

  • The Hubness Phenomenon in High-Dimensional Spaces

    Pages 15-45

    Mani, Priya (et al.)

  • Heuristic Framework for Multiscale Testing of the Multi-Manifold Hypothesis

    Pages 47-80

    Medina, F. Patricia (et al.)

  • Interdisciplinary Approaches to Automated Obstructive Sleep Apnea Diagnosis Through High-Dimensional Multiple Scaled Data Analysis

    Pages 81-107

    Heo, Giseon (et al.)

  • The ℓ ∞-Cophenetic Metric for Phylogenetic Trees As an Interleaving Distance

    Pages 109-127

    Munch, Elizabeth (et al.)

書籍の購入

イーブック ¥9,546
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-3-030-11566-1
  • ウォーターマーク付、 DRMフリー
  • ファイル形式: EPUB, PDF
  • どの電子書籍リーダーからでもすぐにお読みいただけます。
  • ご購入後、すぐにダウンロードしていただけます。
ハードカバー ¥11,933
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-3-030-11565-4
  • 個人のお客様には、世界中どこでも配送料無料でお届けします。
  • Usually dispatched within 3 to 5 business days.
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書誌情報

Bibliographic Information
Book Title
Research in Data Science
Editors
  • Ellen Gasparovic
  • Carlotta Domeniconi
Series Title
Association for Women in Mathematics Series
Series Volume
17
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
The Author(s) and the Association for Women in Mathematics
イーブック ISBN
978-3-030-11566-1
DOI
10.1007/978-3-030-11566-1
ハードカバー ISBN
978-3-030-11565-4
Series ISSN
2364-5733
Edition Number
1
Number of Pages
XIV, 297
Number of Illustrations
14 b/w illustrations, 106 illustrations in colour
Topics