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Intelligence in Big Data Technologies—Beyond the Hype

Proceedings of ICBDCC 2019

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. J. Dinesh Peter

    1. Department of Computer Science and Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India

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  2. Steven L. Fernandes

    1. Department of Computer Science, University of Central Florida, Orlando, USA

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  3. Amir H. Alavi

    1. Department of Civil and Environmental Engineering, University of Pittsburgh, Pittsburgh, USA

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  • Covers the latest developments in big data technologies
  • Discusses applications of big data analytics and cloud computing
  • Explores sensitive data handling in cloud storage systems

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1167)

Included in the following conference series:

Conference proceedings info: ICBDCC 2019.

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Table of contents (62 papers)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. From Dew Over Cloud Towards the Rainbow

    • Zorislav Šojat
    Pages 1-15

  3. L1 Norm SVD-Based Ranking Scheme: A Novel Method in Big Data Mining

    • Rahul Aedula, Yashasvi Madhukumar, Snehanshu Saha, Archana Mathur, Kakoli Bora, Surbhi Agrawal
    Pages 17-29

  4. Human Annotation and Emotion Recognition for Counseling System with Cloud Environment Using Deep Learning

    • K. Arun Kumar, Mani Koushik, Thangavel Senthil Kumar
    Pages 31-42

  5. Enhancing Intricate Details of Ultrasound PCOD Scan Images Using Tailored Anisotropic Diffusion Filter (TADF)

    • Suganya Ramamoorthy, Thangavel Senthil Kumar, S. Md. Mansoorroomi, B. Premnath
    Pages 43-52

  6. LSTM and GRU Deep Learning Architectures for Smoke Prediction System in Indoor Environment

    • S. Vejay Karthy, Thangavel Senthil Kumar, Latha Parameswaran
    Pages 53-64

  7. A Mobile-Based Framework for Detecting Objects Using SSD-MobileNet in Indoor Environment

    • K. K. R. Sanjay Kumar, Goutham Subramani, Senthil Kumar Thangavel, Latha Parameswaran
    Pages 65-76

  8. Privacy-Preserving Big Data Publication: (K, L) Anonymity

    • J. Andrew, J. Karthikeyan
    Pages 77-88

  9. Comparative Analysis of the Efficacy of the EEG-Based Machine Learning Method for the Screening and Diagnosing of Alcohol Use Disorder (AUD)

    • Susma Grace Varghese, Oshin R. Jacob, P. Subha Hency Jose, R. Jegan
    Pages 89-96

  10. Smart Solution for Waste Management: A Coherent Framework Based on IoT and Big Data Analytics

    • E. Grace Mary Kanaga, Lidiya Rachel Jacob
    Pages 97-106

  11. Early Detection of Diabetes from Daily Routine Activities: Predictive Modeling Based on Machine Learning Techniques

    • R. Abilash, B. S. Charulatha
    Pages 107-114

  12. Classification of Gender from Face Images and Voice

    • S. Poornima, N. Sripriya, S. Preethi, Saanjana Harish
    Pages 115-124

  13. An Outlier Detection Approach on Credit Card Fraud Detection Using Machine Learning: A Comparative Analysis on Supervised and Unsupervised Learning

    • P. Caroline Cynthia, S. Thomas George
    Pages 125-135

  14. Unmasking File-Based Cryptojacking

    • T. P. Khiruparaj, V. Abishek Madhu, Ponsy R. K. Sathia Bhama
    Pages 137-146

  15. Selection of a Virtual Machine Within a Scheduler (Dispatcher) Using Enhanced Join Idle Queue (EJIQ) in Cloud Data Center

    • G. Thejesvi, T. Anuradha
    Pages 147-153

  16. An Analysis of Remotely Triggered Malware Exploits in Content Management System-Based Web Applications

    • C. Kavithamani, R. S. Sankara Subramanian, Srinevasan Krishnamurthy, Jayakrishnan Chathu, Gayatri Iyer
    Pages 155-168

  17. GSM-Based Design and Implementation of Women Safety Device Using Internet of Things

    • N. Prakash, E. Udayakumar, N. Kumareshan, R. Gowrishankar
    Pages 169-176

  18. A Novel Approach on Various Routing Protocols for WSN

    • E. Udayakumar, Arram Sriram, Bandlamudi Ravi Raju, K. Srihari, S. Chandragandhi
    Pages 177-187

  19. Fraud Detection for Credit Card Transactions Using Random Forest Algorithm

    • T. Jemima Jebaseeli, R. Venkatesan, K. Ramalakshmi
    Pages 189-197

  20. Deep Learning Application in IoT Health Care: A Survey

    • Jinsa Mary Philip, S. Durga, Daniel Esther
    Pages 199-208
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Keywords

About this book

This book is a compendium of the proceedings of the International Conference on Big-Data and Cloud Computing. The papers discuss the recent advances in the areas of big data analytics, data analytics in cloud, smart cities and grid, etc. This volume primarily focuses on the application of knowledge which promotes ideas for solving problems of the society through cutting-edge big-data technologies. The essays featured in this proceeding provide novel ideas that contribute for the growth of world class research and development. It will be useful to researchers in the area of advanced engineering sciences.

Editors and Affiliations

  • Department of Computer Science and Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India

    J. Dinesh Peter

  • Department of Computer Science, University of Central Florida, Orlando, USA

    Steven L. Fernandes

  • Department of Civil and Environmental Engineering, University of Pittsburgh, Pittsburgh, USA

    Amir H. Alavi

About the editors

J. Dinesh Peter is currently working as an Associate Professor, Department of Computer Sciences Technology at Karunya University, Coimbatore. Prior to this, he was a full time research scholar at National Institute of Technology, Calicut, India, from where he received his Ph.D. in Computer Science and Engineering. His research focus includes Big-data, image processing and computer vision. He has highly cited publications in journals of national and international repute. He is a member of IEEE, CSI & IEI and has served as session chairs and delivered plenary speeches for various international conferences and workshops. 


Steven L. Fernandes is currently a post-doctoral researcher in the Department of Computer Science, University of Central Florida. He has previously been affiliated with the University of Alabama Birmingham, USA and the Sahyadri College of Engineering and Management, India. Dr Fernandes has authored 1 book and 40 research papers in refereed journals.


Amir H. Alavi is an Assistant Professor in the Department of Civil and Environmental Engineering and holds a courtesy appointment in the Department of Bioengineering at the University of Pittsburgh, United States. His multidisciplinary research integrates sensing, computation, control, networking, and information systems into the civil infrastructure to create cyber-physical infrastructure systems. His research interests include smart cities, structural health monitoring, deployment of advanced sensors, energy harvesting, and civil engineering system informatics. Dr. Alavi has authored 5 books and over 170 publications in archival journals, book chapters, and conference proceedings. 

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