Skip to main content
Springer Nature Link
Log in

Analytics, Machine Learning, and Artificial Intelligence

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

  • Conference proceedings
  • © 2025

Overview

Editors:
  1. Suparna Dhar

    1. NSHM Knowledge Campus, Kolkata, India

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Sanjay Goswami

    1. NSHM Knowledge Campus, Kolkata, India

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Dinesh Kumar Unni Krishnan

    1. Indian Institute of Management Bangalore, Bengaluru, India

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Indranil Bose

    1. Indian Institute of Management Ahmedabad, Ahmedabad, India

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  5. Rameshwar Dubey

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  6. Chandan Mazumdar

    1. Jadavpur University, Kolkata, India

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

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.

  • 898 Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 64.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

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.

Similar content being viewed by others

Keywords

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
Back to top

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

Publish with us

Policies and ethics

Back to top