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Big Data and Artificial Intelligence

12th International Conference, BDA 2024, Hyderabad, India, December 17–20, 2024, Proceedings

  • Conference proceedings
  • © 2025

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Editors:
  1. Anirban Dasgupta

    1. Indian Institute of Technology, Gandhinagar, India

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  2. Rage Uday Kiran

    1. University of Aizu, Aizu-Wakamatsu, Japan

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  3. Radwa El Shawi

    1. University of Tartu, Tartu, Estonia

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  4. Satish Srirama

    1. University of Hyderabad, Hyderabad, India

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  5. Mainak Adhikari

    1. Indian Institute of Science Education and Research, Thiruvananthapuram, India

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15526)

Included in the following conference series:

Conference proceedings info: BDA 2024.

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About this book

This book constitutes the proceedings of the 12th International Conference on Big Data and Artificial Intelligence, BDA 2024, held in Hyderabad, India, during December 17–20, 2024.

The 16 full papers and 12 short papers presented here were carefully reviewed and selected from 106 submissions. These papers have been categorized under the following topical sections: Image Classification; Graph Analytics; Big Data Analytics; Applications; Data Science; Health-Care Analytics; eLearning; Prediction and Forecasting.

Keywords

Table of contents (28 papers)

  1. Front Matter

    Pages i-xvi
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  2. Image Classification

    1. Front Matter

      Pages 1-1
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    2. Efficient Detection of Acute Lymphoblastic Leukemia in Microscopic Blood Cell Images

      • Bhupathi Vishva Pavani, Gaddam Thanmai, Rimjhim Padam Singh
      Pages 3-17

    3. Neutrosophic Clustering Method with Local Spatial Information for Dermoscopic Image Segmentation

      • Avni Mishra, R. K. Agrawal, Pinki Kumari
      Pages 18-33

    4. DLMLP with Elastic-Net Regularization for Hyperspectral Image Classification

      • Madhuri Gadwal, Atul Negi
      Pages 34-51

  3. Graph Analytics

    1. Front Matter

      Pages 53-53
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    2. DisEvD: A Benchmark Dataset for Disruptive Event Identification from Online Social Network

      • Aditi Seetha, Jitendra Parmar, Satyendra Singh Chouhan, Emmanuel S. Pilli, Abhinav Jain
      Pages 55-74

    3. Adaptive Temporal Random Walks for Graph Representation

      • Monachary Kammari, S. Durga Bhavani
      Pages 75-91

    4. SDG_HHAG Framework: Homogeneous and Heterogeneous Attributed Graphs

      • A. Sandhya Rani, G. Ashwitha, K. Swarupa Rani
      Pages 92-112

  4. Big Data Analytics

    1. Front Matter

      Pages 113-113
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    2. Dynamic Deployment of Serverless Data Pipeline on Fog Nodes

      • Sreenivasu Mirampalli, Rajeev Wankar, Satish Narayana Srirama
      Pages 115-132

    3. Matrix Factorization of Large Scale Data Using Block Based Approach and GPU Acceleration

      • Prasad Bhavana, Vineet Padmanabhan, Wilson Naik Bhukya
      Pages 133-147

    4. Advanced HLS for Reconfigurable Image Processing in Big Data Systems

      • K. Bhagirath, Dheeraj Pant, Abhishek Tiwari, Vivek Khaneja
      Pages 148-162

  5. Applications-1

    1. Front Matter

      Pages 163-163
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    2. Explainable Detection and Analysis of Cauliflower Leaf Diseases

      • Sharia Arfin Tanim, Rubaba Binte Rahman, Kazi Tanvir, Md. Sayem Kabir, Tasnim Sultana Sintheia, Md Saef Ullah Miah
      Pages 165-182

    3. MARINE: A Computer Vision Model for Detecting Rare Predator-Prey Interactions in Animal Videos

      • Zsófia Katona, Seyed Sahand Mohammadi Ziabari, Fatemeh Karimi Nejadasl
      Pages 183-199

    4. A Novel Multi-task Learning Framework for Predicting Traffic Congestion

      • Charan Teja Marrimanu, Arjun Chakravarthi Pogaku
      Pages 200-216

  6. Data Science

    1. Front Matter

      Pages 217-217
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    2. MLN-geeWhiz: Supporting Complex Data Analysis Including Visualization

      • Amey Shinde, Viraj Sabhaya, Kevin Farokhrouz, Fariba Irany, Ali Khan, Sanjukta Bhowmick et al.
      Pages 219-239

    3. gCDR: A Group Aided Cross-Domain Recommendation Framework

      • Adamya Shyam, Kavita Kanwar, Vikas Kumar, Venkateswara Rao Kagita
      Pages 240-256
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Other volumes

  1. Big Data and Artificial Intelligence

Editors and Affiliations

  • Indian Institute of Technology, Gandhinagar, India

    Anirban Dasgupta

  • University of Aizu, Aizu-Wakamatsu, Japan

    Rage Uday Kiran

  • University of Tartu, Tartu, Estonia

    Radwa El Shawi

  • University of Hyderabad, Hyderabad, India

    Satish Srirama

  • Indian Institute of Science Education and Research, Thiruvananthapuram, India

    Mainak Adhikari

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