书评:;智能交通和医疗系统的大数据分析

IF 10.8 1区数学 Q1 MATHEMATICS, APPLIED

SIAM Review Pub Date : 2025-05-08 DOI:10.1137/24m1637581

Esha Datta

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引用次数: 0

摘要

SIAM评论，第67卷，第2期，405-406页，2025年5月。智能交通和医疗系统的大数据分析探讨了城市数据分析的实践，以人为中心的数据集。通过一系列及时的案例研究，作者证明了跨学科方法研究大数据的必要性。本书涵盖了从飞行状态到COVID-19大流行的主题，介绍了有效和负责任的数据科学的关键工具，并将证明对各个领域的数据科学家有用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Book Review:; Big Data Analytics for Smart Transport and Healthcare Systems

SIAM Review, Volume 67, Issue 2, Page 405-406, May 2025.
Big Data Analytics for Smart Transport and Healthcare Systems explores the praxis of data analysis for urban, human-focused datasets. Through a series of timely case studies, the authors demonstrate the need for interdisciplinary approaches to studying big data. This text, which covers topics ranging from flight status to the COVID-19 pandemic, introduces crucial tools for effective and responsible data science and will prove useful for data scientists across a variety of fields.

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来源期刊

SIAM Review 数学-应用数学

CiteScore

16.90

自引率

0.00%

发文量

期刊介绍： Survey and Review feature papers that provide an integrative and current viewpoint on important topics in applied or computational mathematics and scientific computing. These papers aim to offer a comprehensive perspective on the subject matter. Research Spotlights publish concise research papers in applied and computational mathematics that are of interest to a wide range of readers in SIAM Review. The papers in this section present innovative ideas that are clearly explained and motivated. They stand out from regular publications in specific SIAM journals due to their accessibility and potential for widespread and long-lasting influence.