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Big Data Analytics

9th International Conference, BDA 2021, Virtual Event, December 15-18, 2021, Proceedings

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Satish Narayana Srirama

    1. University of Hyderabad, Hyderabad, India

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  2. Jerry Chun-Wei Lin

    1. Western Norway University of Applied Sciences, Bergen, Norway

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  3. Raj Bhatnagar

    1. University of Cincinnati, Cincinnati, USA

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  4. Sonali Agarwal

    1. Indian Institute of Information Technology Allahabad, Prayagraj, India

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  5. P. Krishna Reddy

    1. International Institute of Information Technology, Hyderabad, India

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13147)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: BDA 2021.

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Table of contents (24 papers)

  1. Front Matter

    Pages i-xiii
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  2. Medical and Health Applications

    1. Front Matter

      Pages 1-1
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    2. MAG-Net: Multi-task Attention Guided Network for Brain Tumor Segmentation and Classification

      • Sachin Gupta, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
      Pages 3-15

    3. Smartphone Mammography for Breast Cancer Screening

      • Rohini Basu, Meghana Madarkal, Asoke K. Talukder
      Pages 16-30

    4. Bridging the Inferential Gaps in Healthcare

      • Asoke K. Talukder
      Pages 31-43

    5. 2AI&7D Model of Resistomics to Counter the Accelerating Antibiotic Resistance and the Medical Climate Crisis

      • Asoke K. Talukder, Prantar Chakrabarti, Bhaskar Narayan Chaudhuri, Tavpritesh Sethi, Rakesh Lodha, Roland E. Haas
      Pages 44-53

    6. Tooth Detection from Panoramic Radiographs Using Deep Learning

      • Shweta Shirsat, Siby Abraham
      Pages 54-63

  3. Machine/Deep Learning

    1. Front Matter

      Pages 65-65
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    2. Hate Speech Detection Using Static BERT Embeddings

      • Gaurav Rajput, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
      Pages 67-77

    3. Fog Enabled Distributed Training Architecture for Federated Learning

      • Aditya Kumar, Satish Narayana Srirama
      Pages 78-92

    4. Modular ST-MRF Environment for Moving Target Detection and Tracking Under Adverse Local Conditions

      • T. Kusuma, K. Ashwini
      Pages 93-105

    5. Challenges of Machine Learning for Data Streams in the Banking Industry

      • Mariam Barry, Albert Bifet, Raja Chiky, Jacob Montiel, Vinh-Thuy Tran
      Pages 106-118

    6. A Novel Aspect-Based Deep Learning Framework (ADLF) to Improve Customer Experience

      • Saurav Tewari, Pramod Pathak, Paul Stynes
      Pages 119-130

  4. IoTs, Sensors, and Networks

    1. Front Matter

      Pages 131-131
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    2. Routing Protocol Security for Low-Power and Lossy Networks in the Internet of Things

      • Akshet Patel, D. Shanmugapriya, Gautam Srivastava, Jerry Chun-Wei Lin
      Pages 133-145

    3. MQTT Protocol Use Cases in the Internet of Things

      • D. Shanmugapriya, Akshet Patel, Gautam Srivastava, Jerry Chun-Wei Lin
      Pages 146-162

    4. Large-Scale Contact Tracing, Hotspot Detection, and Safe Route Recommendation

      • Chandresh Kumar Maurya, Seemandhar Jain, Vishal Thakre
      Pages 163-182

    5. Current Trends in Learning from Data Streams

      • João Gama, Bruno Veloso, Ehsan Aminian, Rita P. Ribeiro
      Pages 183-193

  5. Fundamentation

    1. Front Matter

      Pages 195-195
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    2. Diagnostic Code Group Prediction by Integrating Structured and Unstructured Clinical Data

      • Akshara Prabhakar, Shidharth Srinivasan, Gokul S. Krishnan, Sowmya S. Kamath
      Pages 197-210
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  1. Big Data Analytics

Keywords

About this book

This book constitutes the proceedings of the 8th International Conference on Big Data Analytics, BDA 2021, which took place during December 2021. Due to COVID-19 pandemic the conference was held virtually.
The 16 full and 3 short papers included in this volume were carefully reviewed and selected from 41 submissions. The contributions were organized in topical sections named as follows: medical and health applications; machine/deep learning; IoTs, sensors, and networks; fundamentation; pattern mining and data analytics.

Editors and Affiliations

  • University of Hyderabad, Hyderabad, India

    Satish Narayana Srirama

  • Western Norway University of Applied Sciences, Bergen, Norway

    Jerry Chun-Wei Lin

  • University of Cincinnati, Cincinnati, USA

    Raj Bhatnagar

  • Indian Institute of Information Technology Allahabad, Prayagraj, India

    Sonali Agarwal

  • International Institute of Information Technology, Hyderabad, India

    P. Krishna Reddy

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