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Big Data Analytics in Astronomy, Science, and Engineering

11th International Conference on Big Data Analytics, BDA 2023, Aizu, Japan, December 5–7, 2023, Proceedings

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Shelly Sachdeva

    1. National Institute of Technology Delhi, New Delhi, India

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    You can also search for this editor in PubMed   Google Scholar

  2. Yutaka Watanobe

    1. University of Aizu, Aizu-Wakamatsu, Japan

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14516)

Included in the following conference series:

Conference proceedings info: BDA 2023.

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Table of contents (19 papers)

  1. Front Matter

    Pages i-xiii
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  2. Data Management and Visualization

    1. Front Matter

      Pages 1-1
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    2. AI-Based Assistance for Management of Oral Community Knowledge in Low-Resource and Colloquial Kannada Language

      • M. Aparna, Sharath Srivatsa, G. Sai Madhavan, T. B. Dinesh, Srinath Srinivasa
      Pages 3-16

    3. Topic Modeling Applied to Reddit Posts

      • Maria Kędzierska, Mikołaj Spytek, Marcelina Kurek, Jan Sawicki, Maria Ganzha, Marcin Paprzycki
      Pages 17-44

    4. Twitter Sentiment Analysis in Resource Limited Language

      • Riya Gupta, Sandli Agarwal, Shreya Garg, Rishabh Kaushal
      Pages 45-58

    5. Querying Healthcare Data in Knowledge-Based Systems

      • Kanika Soni, Shelly Sachdeva, Anupama Minj
      Pages 59-77

    6. IGUANER - DIfferential Gene Expression and fUnctionAl aNalyzER

      • Valentina Pinna, Jessica Di Martino, Franco Liberati, Paolo Bottoni, Tiziana Castrignanò
      Pages 78-93

  3. Data Science: Architectures and Systems

    1. Front Matter

      Pages 95-95
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    2. Boosting Diagnostic Accuracy of Osteoporosis in Knee Radiograph Through Fine-Tuning CNN

      • Saumya Kumar, Puneet Goswami, Shivani Batra
      Pages 97-109

    3. VLSI Implementation of Reconfigurable Canny Edge Detection Algorithm

      • K. K. Senthilkumar, E. Avantika, B. Gayathri, Vaithiyanathan Dhandapani
      Pages 110-119

    4. DMC Approach for Modeling Viral Transmission over Respiratory System

      • Raghevendra Jaiswal, Masood Asim, Urvashi Chugh, Prabhakar Agrawal, S. Pratap Singh
      Pages 120-127

    5. Machine Learning in Particle Physics

      • Milind V. Purohit
      Pages 128-138

  4. Data Science and Applications

    1. Front Matter

      Pages 139-139
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    2. A Robust Ensemble Machine Learning Model with Advanced Voting Techniques for Comment Classification

      • Ariful Islam Shiplu, Md. Mostafizer Rahman, Yutaka Watanobe
      Pages 141-159

    3. Vector-Based Semantic Scenario Search for Vehicular Traffic

      • A. P. Bhoomika, Srinath Srinivasa, Vijaya Sarathi Indla, Saikat Mukherjee
      Pages 160-171

    4. Searching for Short M-Dwarf Flares by Machine Learning Method

      • Hanchun Jiang
      Pages 172-183

    5. Vayu Vishleshan: AQI Monitoring and Reduction Analysis

      • Mayank Deep Khare, Shelly Sachdeva, Divyam Dubey, Rohit Singh Rajpoot, Saurav Kumar
      Pages 184-197

    6. Efficient Knowledge Graph Embeddings via Kernelized Random Projections

      • Nidhi Goyal, Anmol Goel, Tanuj Garg, Niharika Sachdeva, Ponnurangam Kumaraguru
      Pages 198-209

  5. Cyber Systems and Information Security

    1. Front Matter

      Pages 211-211
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    2. From Silos to Unity: Seamless Cross-Platform Gaming by Leveraging Blockchain Technology

      • Rashmi P. Sarode, Yutaka Watanobe, Subhash Bhalla
      Pages 213-223
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Other volumes

  1. Big Data Analytics in Astronomy, Science, and Engineering

Keywords

About this book

This book constitutes the proceedings of the 11th International Conference on Big Data Analytics in Astronomy, Science, and Engineering, BDA 2023, which took place in Aizu, Japan during December 5–7, 2023.

The 19 full papers included in this book were carefully reviewed and selected from 55 submissions. They were organized in topical sections as follows: Data management and visualization; data science: architectures and systems; data science and applications; and cyber systems and information security. 

 

 

Editors and Affiliations

  • National Institute of Technology Delhi, New Delhi, India

    Shelly Sachdeva

  • University of Aizu, Aizu-Wakamatsu, Japan

    Yutaka Watanobe

Bibliographic Information

  • Book Title: Big Data Analytics in Astronomy, Science, and Engineering

  • Book Subtitle: 11th International Conference on Big Data Analytics, BDA 2023, Aizu, Japan, December 5–7, 2023, Proceedings

  • Editors: Shelly Sachdeva, Yutaka Watanobe

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-58502-9

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024

  • Softcover ISBN: 978-3-031-58501-2Published: 27 April 2024

  • eBook ISBN: 978-3-031-58502-9Published: 26 April 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIII, 318

  • Number of Illustrations: 16 b/w illustrations, 103 illustrations in colour

  • Topics: Computer Applications, Database Management, Computer Communication Networks

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