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Analytics, Machine Learning, and Artificial Intelligence

Second Analytics Global Conference, AGC 2024, Kolkata, India, March 6–7, 2024, Revised Selected Papers

  • Conference proceedings
  • © 2025

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Editors:
  1. Suparna Dhar

    1. NSHM Knowledge Campus, Kolkata, India

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  2. Sanjay Goswami

    1. NSHM Knowledge Campus, Kolkata, India

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  3. Dinesh Kumar Unni Krishnan

    1. Indian Institute of Management Bangalore, Bengaluru, India

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  4. Indranil Bose

    1. Indian Institute of Management Ahmedabad, Ahmedabad, India

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  5. Rameshwar Dubey

    1. Liverpool John Moore's University, Liverpool, UK

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  6. Chandan Mazumdar

    1. Jadavpur University, Kolkata, India

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 2224)

Included in the following conference series:

Conference proceedings info: AGC 2024.

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About this book

This book constitutes the refereed proceedings of the Second Analytics Global Conference on Analytics, Machine Learning, and Artificial Intelligence, AGC 2024, held in Kolkata, India, during March 6-7, 2024. 

The 15 full papers and 3 short papers presented in these proceedings were carefully reviewed and selected from 60 submissions. The papers are organized in these topical sections: applications of analytics in business; analytics methods, tools & techniques.

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Table of contents (18 papers)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Applications of Analytics in Business

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Next-Gen Cold Storage Surveillance Platform

      • P. V. Raja Suganya, T. Devi, V. Joshita
      Pages 3-18

    3. Attack Hypergraph: A Framework for Modeling Multi-stage Attacks

      • Rudra Prasad Chatterjee, Islaur Rahaman Ruku, Mridul Sankar Barik, Ayan Gain
      Pages 19-28

    4. Ensuring Integrity in Blockchain-Based Health Information Exchange through Collaborative Data Safeguards

      • Sounak Banerjee, Sudhanyo Chatterjee, Asif Iqbal Middya, Sarbani Roy
      Pages 29-49

    5. Predictive Modelling of Airline Baggage Complaints Using Facebook Prophet: A Time Series Analysis

      • Mitra Tithi Dey
      Pages 50-61

    6. Path Planning in Disaster Management Scenarios

      • Afroze Rahman, Sumanta Banerjee, Anindita Kundu
      Pages 62-79

  3. Analytics Methods, Tools and Techniques

    1. Front Matter

      Pages 81-81
      Download chapter PDF

    2. Machine Learning-Driven Feature Selection for Performance Analysis in Student Mental Health

      • Sukarna Dey Mondal, Namita Tudu, Payel Karmakar, Samiha Baksi, Dipendra Nath Ghosh, Pabitra Kumar Dey
      Pages 83-94

    3. Utilizing Social Media for Understanding Public Opinion on Transportation in Indian Cities

      • Anik Das, Tushar Jaiswal, Vivek Kumar Singh, Moumita Basu, Saptarshi Ghosh
      Pages 95-103

    4. Classification of Various Iris Patterns of Amphibians Using Geometric and Color Features

      • Parthasarathi De, Samiddha Chakrabarti
      Pages 104-125

    5. Recognition of the Hornbill Eye’s Iris Using Bit Plane Processing, Un-sharp Masking and High Boost Filtering

      • Parthasarathi De, Samiddha Chakrabarti
      Pages 126-145

    6. Analyzing Post-Shopping Facial Expressions: Unraveling Emotions for Enhanced Consumer Insights

      • Aiswarya Rana, Abhik Goswami, Sutanu Mazumder, Prasenjit Maji, Swadhin Kumar Mondal, Raj Kumar Samanta
      Pages 146-158

    7. AI Based Energy Resources Management for PV/Wind/Diesel/Battery Hybrid System

      • Sangita B. Patil, Ramesh Mali, Yogini Borole, Seema Jadhav
      Pages 159-174

    8. Unraveling the Complexity of Anti-Vax Concerns During the COVID-19 Pandemic

      • Kaustav Das, Moumita Basu
      Pages 175-188

    9. Recommending Influential Authors Using Content-Based Filtering and Network Similarity-A Case Study on Disease-Related Research

      • Anwesha Sengupta, Asif Iqbal Middya, Sarbani Roy
      Pages 189-203

    10. An Examination of the Effectiveness of SMOTE-Based Algorithms on Software Defect Prediction

      • Soumili Ghosh, Subhajit Datta, Subhashis Majumder
      Pages 204-216

    11. Development of an Essential Education Performance Prediction Tool Using Machine Learning

      • Anjali Agarwal, Roshni Rupali Das, Ajanta Das
      Pages 217-226

    12. Groundwater Quality Assessment of Indian Pumping Stations Using Unsupervised Machine Learning and Cluster Analysis

      • Sanjay Goswami, Madhurima Paul, Swapan Das, Prithwish Sarkar
      Pages 227-239

    13. Predicting Performance of Players in the Knockouts of Cricket World Cup Based on Their Performance in League Matches Using Machine Learning

      • Sabyasachi Kar, Tapabrata Roy, Joshit Naik, Suparna Dhar
      Pages 240-253
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Other volumes

  1. Analytics, Machine Learning, and Artificial Intelligence

Editors and Affiliations

  • NSHM Knowledge Campus, Kolkata, India

    Suparna Dhar, Sanjay Goswami

  • Indian Institute of Management Bangalore, Bengaluru, India

    Dinesh Kumar Unni Krishnan

  • Indian Institute of Management Ahmedabad, Ahmedabad, India

    Indranil Bose

  • Liverpool John Moore's University, Liverpool, UK

    Rameshwar Dubey

  • Jadavpur University, Kolkata, India

    Chandan Mazumdar

Bibliographic Information

  • Book Title: Analytics, Machine Learning, and Artificial Intelligence

  • Book Subtitle: Second Analytics Global Conference, AGC 2024, Kolkata, India, March 6–7, 2024, Revised Selected Papers

  • Editors: Suparna Dhar, Sanjay Goswami, Dinesh Kumar Unni Krishnan, Indranil Bose, Rameshwar Dubey, Chandan Mazumdar

  • Series Title: Communications in Computer and Information Science

  • DOI: https://doi.org/10.1007/978-3-031-75157-8

  • Publisher: Springer Cham

  • eBook Packages: Artificial Intelligence (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2025

  • Softcover ISBN: 978-3-031-75156-1Published: 21 November 2024

  • eBook ISBN: 978-3-031-75157-8Published: 20 November 2024

  • Series ISSN: 1865-0929

  • Series E-ISSN: 1865-0937

  • Edition Number: 1

  • Number of Pages: X, 267

  • Number of Illustrations: 51 b/w illustrations, 84 illustrations in colour

  • Topics: Artificial Intelligence, Data Structures and Information Theory, Machine Learning

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