Description

Book Synopsis
This book constitutes the proceedings of the 10th International Conference on Big Data Analytics, BDA 2022, which took place in a hybrid mode during December 2022 in Aizu, Japan.

The 14 full papers included in this volume were carefully reviewed and selected from 70 submissions. They were organized in topical sections as follows: big data analytics, networking, social media, search, information extraction, image processing and analysis, spatial, text, mobile and graph data analysis, machine learning, and healthcare.



Table of Contents
Data Science: Systems.- Architectures.- Big Data Analytics in Healthcare Support Systems.- Information Interchange of Web Data Resources.- Business Analytics.

Big Data Analytics in Astronomy, Science, and Engineering: 10th International Conference on Big Data Analytics, BDA 2022, Aizu, Japan, December 5–7, 2022, Proceedings

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A Paperback by Shelly Sachdeva, Yutaka Watanobe, Subhash Bhalla

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    View other formats and editions of Big Data Analytics in Astronomy, Science, and Engineering: 10th International Conference on Big Data Analytics, BDA 2022, Aizu, Japan, December 5–7, 2022, Proceedings by Shelly Sachdeva

    Publisher: Springer International Publishing AG
    Publication Date: 19/03/2023
    ISBN13: 9783031283499, 978-3031283499
    ISBN10: 303128349X

    Description

    Book Synopsis
    This book constitutes the proceedings of the 10th International Conference on Big Data Analytics, BDA 2022, which took place in a hybrid mode during December 2022 in Aizu, Japan.

    The 14 full papers included in this volume were carefully reviewed and selected from 70 submissions. They were organized in topical sections as follows: big data analytics, networking, social media, search, information extraction, image processing and analysis, spatial, text, mobile and graph data analysis, machine learning, and healthcare.



    Table of Contents
    Data Science: Systems.- Architectures.- Big Data Analytics in Healthcare Support Systems.- Information Interchange of Web Data Resources.- Business Analytics.

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