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Computational Intelligence in Data Mining

Proceedings of ICCIDM 2021

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Janmenjoy Nayak

    1. Department of Computer Science, Maharaja Sriram Chandra BhanjaDeo (MSCB) University, Baripada, India

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  2. H.S. Behera

    1. Department of Information Technology, Veer Surendra Sai University of Technology, Sambalpur, India

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  3. Bighnaraj Naik

    1. Department of Computer Application, Veer Surendra Sai University of Technology, Sambalpur, India

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  4. S. Vimal

    1. Department of AI & DS, Ramco Institute of Technology, Rajapalayam, India

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  5. Danilo Pelusi

    1. Faculty of Communication Sciences, University of Teramo, Teramo, Italy

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  • Presents recent research in computational intelligence in data mining
  • Discusses the outcomes of ICCIDM 2021, held in Tekkali, India
  • Serves as a reference guide for researchers and practitioners in academia and industry

Part of the book series: Smart Innovation, Systems and Technologies (SIST, volume 281)

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Table of contents (56 papers)

  1. Front Matter

    Pages i-xxvi
    Download chapter PDF

  2. Multi-Sensor Data Fusion for Occupancy Detection Using Dempster–Shafer Theory

    • Sunanta Sarkar, Amit Ghosh, Sankhadeep Chatterjee
    Pages 1-12

  3. Sentiment Analysis: A Recent Survey with Applications and a Proposed Ensemble Algorithm

    • Srishti Jain, Vishal Gupta
    Pages 13-25

  4. An Automated System for Facial Mask Detection and Social Distancing during COVID-19 Pandemic

    • Rutuja Rashinkar, Swapnil Rokade, Pragati Janjal, Gauri Pawar, Swati Shinde
    Pages 27-39

  5. Detection of Insider Threats Using Deep Learning: A Review

    • P. Lavanya, V. S. Shankar Sriram
    Pages 41-57

  6. An Incisive Analysis of Advanced Persistent Threat Detection Using Machine Learning Techniques

    • M. K. Vishnu Priya, V. S. Shankar Sriram
    Pages 59-74

  7. Intelligent Computing Systems for Diagnosing Plant Diseases

    • Maitreya Sawai, Sameer More, Prasanna Nagardhane, Subodh Pandhare, Manjiri Ranjanikar
    Pages 75-87

  8. Multimodal MRI Analysis for Segmentation of Intra-tumoral Regions of High-Grade Glioma Using VNet and WNet Based Deep Models

    • Sonal Gore, Prajakta Bhosale, Ashley George, Ashwin Mohan, Prajakta Joshi, Anuradha Thakare
    Pages 89-101

  9. Early Onset Alzheimer Disease Classification Using Convolution Neural Network

    • Happy Ramani, Rupal A. Kapdi
    Pages 103-112

  10. A Study on Evaluating the Performance of Robot Motion Using Gradient Generalized Artificial Potential Fields with Obstacles

    • Syed Muzamil Basha, Syed Thouheed Ahmed, Naif K. Al-Shammari
    Pages 113-125

  11. Exploratory Analysis of Kidney Disease Data Set—A Comparative Study

    • Aniket Muley, Sagar Joshi
    Pages 127-135

  12. Deepfakes for Video Conferencing Using General Adversarial Networks (GANs) and Multilingual Voice Cloning

    • Jayesh Shelar, Dipak Ghatole, Mayank Pachpande, Dhanashree Bhandari, S. V. Shinde
    Pages 137-148

  13. Topic Evolution Model for Interactive Information Search

    • Harshal Adhav, Vikram Singh
    Pages 149-164

  14. A Novel Automated Human Face Recognition and Temperature Detection System Using Deep Neural Networks—FRTDS

    • Varalatchoumy M, Pranav Durai
    Pages 165-179

  15. A Novel BFS and CCDS-Based Efficient Sleep Scheduling Algorithm for WSN

    • B. Srinivasa Rao
    Pages 181-193

  16. Face Recognition: A Review and Analysis

    • Amit Verma, Aarti Goyal, Nitish Kumar, Hitesh Tekchandani
    Pages 195-210

  17. COVID-19 Time Series Prediction and Lockdown Effectiveness

    • Rajdeep Biswas, Soumi Dutta
    Pages 211-223

  18. Performance Evaluation of Electrogastrogram (EGG) Signal Compression for Telemedicine Using Various Wavelet Transform

    • M. Gokul, M. Sameera Fathimal, S. Jothiraj, Pradeep Murugesan
    Pages 225-233

  19. The Impact of UV-C Treatment on Fruits and Vegetables for Quality and Shelf Life Improvement Using Internet of Things

    • N. Sneha, Bhagya M. Patil
    Pages 235-247

  20. Modeling and Forecasting Stock Closing Prices with Hybrid Functional Link Artificial Neural Network

    • Subhranginee Das, Sarat Chandra Nayak, Biswajit Sahoo
    Pages 249-259
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Keywords

About this book

This book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book is a collection of high-quality peer-reviewed research papers presented in the Sixth International Conference on Computational Intelligence in Data Mining (ICCIDM 2021) held at Aditya Institute of Technology and Management, Tekkali, Andhra Pradesh, India, during December 11–12, 2021. The book addresses the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics.


Editors and Affiliations

  • Department of Computer Science, Maharaja Sriram Chandra BhanjaDeo (MSCB) University, Baripada, India

    Janmenjoy Nayak

  • Department of Information Technology, Veer Surendra Sai University of Technology, Sambalpur, India

    H.S. Behera

  • Department of Computer Application, Veer Surendra Sai University of Technology, Sambalpur, India

    Bighnaraj Naik

  • Department of AI & DS, Ramco Institute of Technology, Rajapalayam, India

    S. Vimal

  • Faculty of Communication Sciences, University of Teramo, Teramo, Italy

    Danilo Pelusi

About the editors

Dr. Janmenjoy Nayak is working as Assistant Professor, Department of Computer Science, Maharaja Sriram Chandra BhanjaDeo (MSCB) University, Baripada, Odisha, India. Being two times Gold Medalist in Computer Science in his career, he has been awarded with INSPIRE Research Fellowship from DST, Govt. of India (both as JRF and SRF level) and Best Researcher Award from Jawaharlal Nehru University of Technology, Kakinada, AP, for the AY: 2018–2019 and many other awards from national and international academic agencies. He has edited 14 books and eight special issues on the applications of computational intelligence, soft computing, and pattern recognition, published by reputed International publications. He has published more than 170+ referred articles in various chapters, conferences, and international reputed peer-reviewed journals of Elsevier, Inderscience, Springer, IEEE, etc. He is Senior Member of IEEE and Life Member of some of the reputed societies like CSI India, IAENG (Hong Kong),etc. He has successfully conducted and is being associated with 14 international reputed series conferences like ICCIDM, HIS, ARIAM, CIPR, SCDA, etc. His area of interest includes data mining, nature-inspired algorithms, and applied artificial intelligence.

Dr. H. S. Behera is working as Associate Professor in the Department of Information Technology, Veer Surendra Sai University of Technology (VSSUT), Burla, Odisha, India. He has received M.Tech. in Computer Science and Engineering from National Institute of Technology (NIT), Rourkela, Odisha, India, and Doctor of Philosophy in Engineering (Ph.D.) from Biju Pattnaik University of Technology (BPUT), Rourkela, Government of Odisha, India, respectively. His research and development experience includes over 19 years in academia spanning different technical institutes in India. His research interest includes data mining, soft computing, evolutionary computation, machine intelligence, and distributed system. He has authored/co-authoredover 150+ journal/conferences papers and chapters. He has edited 11 books and serves as Associate Editor/Member of the editorial/reviewer board of various international journals and also guest edited 08 special issues on various topics of Inderscience and IGI Global Journals. He has produced eight Ph.D.s in the area of data mining and time series forecasting using soft computing techniques.

Dr. Bighnaraj Naik is Assistant Professor in the Department of Computer Applications, Veer Surendra Sai University of Technology, Burla, Odisha, India. He received his doctoral degree from the Department of Computer Science Engineering and Information Technology, Veer Surendra Sai University of Technology, Burla, Odisha, India, Master’s degree from SOA University, Bhubaneswar, Odisha, India, and Bachelor’s degree from National Institute of Science and Technology, Berhampur, Odisha, India. He has published more than 120 research papers in various reputed peer-reviewed international conferences, referred journals and chapters. He has more than five years of teaching experience in the field of computer science and information technology. His area of interest includes data mining, soft computing, etc.

Dr. S. Vimal is working in the Department of Computer Science and Engineering, Ramco Institute of Technology, Tamil Nadu, India. He has around fourteen years of teaching experience, EMC certified Data Science Associate and CCNA certified professional too. He holds a Ph.D. in Information and Communication Engineering from Anna University, Chennai, and he received Master’s degree from Anna University, Coimbatore. He organized various funded workshops and seminars. He has wide publications in the highly impact journals in the area of data analytics, networking, and security issues and published four chapters. He has hosted two special sessions for IEEE sponsored conference in Osaka, Japan, and Thailand. His areas of interest include game modeling, artificial intelligence, machine learning, and big data analytics. He is Senior Member in IEEE, ACM, and ISTE. He has hosted 21 special issues in IEEE, Elsevier, and Springer journals. He has served as Guest Editor for SCI journals and edited three books in reputed International publishers.

Dr. Danilo Pelusi has received the Ph.D. degree in Computational Astrophysics from the University of Teramo, Italy. Presently, he is holding the position of Associate Professor at the Faculty of Communication Sciences, University of Teramo. Associate Editor of IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Access, International Journal of Machine Learning and Cybernetics (Springer) and Array (Elsevier), he served as Guest Editor for Elsevier, Springer and Inderscience journals, as Program Member of many conferences and as Editorial Board Member of many journals. Reviewer of reputed journals such as IEEE Transactions on Fuzzy Systems and IEEE Transactions on Neural Networks and Machine Learning, his research interests include intelligent computing, communication system, fuzzy logic, neural networks, information theory, and evolutionary algorithms.

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