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Computational Intelligence in Data Science

7th IFIP TC 12 International Conference, ICCIDS 2024, Chennai, India, February 21–23, 2024, Revised Selected Papers, Part I

  • Conference proceedings
  • © 2024

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Editors:
  1. Mieczyslaw Lech Owoc

    1. Wroclaw University of Economics and Business, Wrocław, Poland

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  2. Felix Enigo Varghese Sicily

    1. Sri Sivasubramaniya Nadar College of Engineering, Chennai, India

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  3. Kanchana Rajaram

    1. Sri Sivasubramaniya Nadar College of Engineering, Chennai, India

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  4. Prabavathy Balasundaram

    1. Sri Sivasubramaniya Nadar College of Engineering, Chennai, India

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Part of the book series: IFIP Advances in Information and Communication Technology (IFIPAICT, volume 717)

Included in the following conference series:

Conference proceedings info: ICCIDS 2024.

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About this book

These two-volume set IFIP AICT 717 and 718 constitutes the refereed post-conference proceedings of the 7th International Conference on Computational Intelligence in Data Science, ICCIDS 2024, held in Chennai, India, during February 21–23, 2024.

The 63 full papers and 9 short papers presented in these proceedings were carefully reviewed and selected from 259 submissions. The conference papers are organized in following topical sections:

Part I: Applications of AI/ML in Natural Language Processing; and Applications of AI/ML in Image Processing.

Part II: Applications of AI/ML in KDM, Cloud Computing & Security; Data Analytics; and Applications of ML.

Keywords

Table of contents (34 papers)

  1. Front Matter

    Pages i-xviii
    Download chapter PDF

  2. Applications of AI/ML in Natural Language Processing

    1. Front Matter

      Pages 1-1
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    2. Analyzing the Computational Efficiency of LLM Models for NLP Tweet Classification During Emergency-Crisis

      • Sabarish Raja Ramesh Raja, M. S. Antony Vigil, Muthukumar Pattaiah, B. Sudarson
      Pages 3-15

    3. Drug Sentiment Analysis: A Comprehensive Study Using Regression Models and Natural Language Processing

      • S. Pradeep, V. UmaRani
      Pages 16-28

    4. Chat Bot in Banking Sector Using Machine Learning and Natural Language Processing

      • S. P. Chokkalingam, Pasumarti Vamsi Krishna, V. Harshath, Chavva Bala Kuswanth Reddy, Yenumula Siva Sandeep
      Pages 29-40

    5. Lecter - A Large Language Model Chatbot for Cognitive Behavioral Therapy

      • R. Sham Sundhar, T. Shivavardhini, C. A. Daphine Desona Clemency, M. S. Roobini
      Pages 41-53

    6. Evaluating the Language Translation Accuracy of GPT-3.5 Using Prompt Engineering

      • T. S. Ajai Krishna, R. Akshaya, Ansh Bomb, K. Balamurugan, J. Angel Arul Jothi, V. Mary Anita Rajam
      Pages 54-67

    7. Multi-camera Enhanced Real-Time Content-Aware Vehicle Detection

      • Mohamed Mafaz, I. Karthiga, S. Sharon Priya
      Pages 68-86

    8. COOL: Classification of Online Offensive Language Using Machine Learning and Deep Learning

      • Manjari Bhamidi, Manvitha Nandyala, Ragapriya Dayalan, N. Karthik, V. Vani
      Pages 87-97

    9. Improved Evaluator for Subjective Answers Using Natural Language Processing

      • A. Yasin Sharif, N. V. Ravindhar
      Pages 98-109

    10. Self-harm Detection from Texts: A Comparative Study Utilizing BERT, Machine Learning, and Deep Learning Approaches

      • Rajalakshmi Sivanaiah, Sushmithaa Pandian, S. Subhankar, Samyuktaa Sivakumar, R. Rohan, S. Angel Deborah
      Pages 110-123

    11. Neuro-Evolution-Based Language Model for Text Generation

      • C. Bagavathi, Abhijith C. Prakash
      Pages 124-143

    12. Offensive Language Detection on Telugu Language

      • Kakollu Pavan Kalyan, Valiveti Naveen, V. Vani, N. Karthik
      Pages 144-155

    13. User Story Based Automated Test Case Generation Using NLP

      • Arunkumar Chinnaswamy, B. A. Sabarish, R. Deepak Menan
      Pages 156-166

    14. Anticipating Future College Admission Cutoffs: An Innovative Predictive Model Incorporating Student Reviews and Historical Admissions Cutoff Data Using Machine Learning

      • Chikkam Girish, Tata Umesh, N. Karthik, V. Vani
      Pages 167-178

    15. Sentiment Analysis for Stock Prediction Using Mass Media Sources

      • Kunal Kishor Billade, Jeel Patel, N. Karthik, V. Vani
      Pages 179-189

  3. Applications of AI/ML in Image Processing

    1. Front Matter

      Pages 191-191
      Download chapter PDF

    2. CADFRA: Coronary Artery Disease Feature Reduction with Autoencoder for Optimistic and Effective Classification

      • Kerenalli Sudarshana, Vamsidhar Yendapalli, L. Kamala, Thanveer Habeeb Sardar, Zameer Ahmed Adhoni
      Pages 193-208

    3. Machine Learning Based Alzheimer’s Disease Detection: A Comprehensive Approach

      • A. Periya Nayaki, A. K. Vidyabharathi, S. Krishnaveni, M. S. Thanabal
      Pages 209-225

    4. Supervised Learning of Procedures from Tutorial Videos

      • S. Arunima, Amlan Sengupta, Aparna Krishnan, D. Venkata Vara Prasad, Lokeswari Y. Venkataramana
      Pages 226-236
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Other volumes

  1. Computational Intelligence in Data Science

  2. Computational Intelligence in Data Science

Editors and Affiliations

  • Wroclaw University of Economics and Business, Wrocław, Poland

    Mieczyslaw Lech Owoc

  • Sri Sivasubramaniya Nadar College of Engineering, Chennai, India

    Felix Enigo Varghese Sicily, Kanchana Rajaram, Prabavathy Balasundaram

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