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© 2021

Proceedings of International Conference on Big Data, Machine Learning and Applications

BigDML 2019

  • Ripon Patgiri
  • Sivaji Bandyopadhyay
  • Valentina Emilia Balas

Benefits

  • Presents research works in the field of big data, machine learning, and applications

  • Discusses the results of BigDML 2019 held at NIT Silchar, India, during December 2019

  • Serves as a reference for researchers and practitioners in academia and industry

Conference proceedings
  • 672 Downloads

Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 180)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Manaswita Saikia, Dhruba K. Bhattacharyya, Jugal K. Kalita
    Pages 1-14
  3. Simran R. Khiani, C. G. Dethe, V. M. Thakare
    Pages 15-25
  4. T. Mathi Murugan, E. Baburaj
    Pages 27-41
  5. Joyeeta Singha, Aman Kumar
    Pages 43-55
  6. Shalini Ramanathan, Mohan Ramasundaram
    Pages 71-78
  7. Carlos Rondón, Ivon Romero-Pérez, Jesús García Guliany, Ernesto Steffens Sanabria
    Pages 79-87
  8. Aizan Zafar, K. Swarupa Rani
    Pages 89-100
  9. Sainik Kumar Mahata, Amrita Chandra, Dipankar Das, Sivaji Bandyopadhyay
    Pages 131-145
  10. Ana María Echeverria, Jesús García Guliany, Ernesto Steffens Sanabria
    Pages 159-170
  11. Harold Neira, Jesús García Guliany, Luis Cabás Vásquez
    Pages 171-178
  12. Ranjeet Kumar Singh, Anil Kumar Singh, Naveen Kumar, Ashwina Kumar
    Pages 179-191
  13. Naresh Babu Muppalaneni, Ripon Patgiri
    Pages 219-225

About these proceedings

Introduction

This book covers selected high-quality research papers presented at the International Conference on Big Data, Machine Learning, and Applications (BigDML 2019). It focuses on both theory and applications in the broad areas of big data and machine learning. It brings together the academia, researchers, developers and practitioners from scientific organizations and industry to share and disseminate recent research findings. 

 


Keywords

Big Data Machine Learning Data Mining Data Storage Unsupervised Learning Supervised Learning Semi-supervised Learning Natural Language Processing Image Processing Computer Vision BigDML 2019

Editors and affiliations

  1. 1.Department of Computer Science and EngineeringNational Institute Of Technology SilcharSilchar, CacharIndia
  2. 2.CSE DepartmentNational Institute of Technology SilcharSilchar, CacharIndia
  3. 3.Department of Automatics and Applied SoftwareAurel Vlaicu University of AradAradRomania

About the editors

Dr. Ripon Patgiri is Assistant Professor at the Department of Computer Science & Engineering, National Institute of Technology Silchar. He has received his Ph.D. degree from National Institute of Technology Silchar. He has seven years of teaching and research experiences. Moreover, he has rich experiences in organizing conferences. He has published several journal articles, conference papers and book chapters. Also, he is editing several books. He is a senior member of IEEE.

Prof. Sivaji Bandyopadhay is Director of National Institute of Technology Silchar since December 2017. He is Professor of the Department of Computer Science & Engineering, Jadavpur University, India, where he has been serving since 1989. He is attached as Professor, Computer Science and Engineering Department, National Institute of Technology Silchar. He has more than 300 publications in reputed journals and conferences. He has edited two books so far. His research interests are in the area of natural language processing, machine translation, sentiment analysis and medical imaging among others. He has organized several conferences and has been the Program Committee member and Area Chair in several reputed conferences. He has completed international funded projects with France, Japan and Mexico. At the national level, he has been Principal Investigator of several consortium mode projects in the areas of machine translation, cross-lingual information access and treebank development. At present, he is Principal Investigator of an Indo-German SPARC project with the University of Saarlandes, Germany, on Multimodal Machine Translation and the Co-PI of several other international projects.

Prof. Valentina E. Balas is currently Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. She holds a Ph.D. in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. Dr. Balas is the author of more than 300 research papers in refereed journals and international conferences. Her research interests are in intelligent systems, fuzzy control, soft computing, smart sensors, information fusion, modeling and simulation. She is Editor-in-Chief to International Journal of Advanced Intelligence Paradigms (IJAIP) and to International Journal of Computational Systems Engineering (IJCSysE), an Editorial Board member of several national and international journals and is an evaluator expert for national, international projects and Ph.D. Thesis. Dr. Balas is Director of Intelligent Systems Research Centre in Aurel Vlaicu University of Arad and Director of the Department of International Relations, Programs and Projects in the same university. She served as General Chair of the International Workshop Soft Computing and Applications (SOFA) in eight editions 2005–2020 held in Romania and Hungary. Dr. Balas participated in many international conferences as Organizer, Honorary Chair, Session Chair and a member in Steering, Advisory or International Program Committees. She is a member of EUSFLAT, SIAM, a senior member of IEEE, a member in TC – Fuzzy Systems (IEEE CIS), Chair of the TF 14 in TC – Emergent Technologies (IEEE CIS), and a member in TC – Soft Computing (IEEE SMCS). Dr. Balas was past Vice-President (Awards) of IFSA International Fuzzy Systems Association Council (2013–2015) and is Joint Secretary of the Governing Council of Forum for Interdisciplinary Mathematics (FIM), A Multidisciplinary Academic Body, India.

 

Bibliographic information

  • Book Title Proceedings of International Conference on Big Data, Machine Learning and Applications
  • Book Subtitle BigDML 2019
  • Editors Ripon Patgiri
    Sivaji Bandyopadhyay
    Valentina Emilia Balas
  • Series Title Lecture Notes in Networks and Systems
  • Series Abbreviated Title Lect. Notes in Networks, Syst.
  • DOI https://doi.org/10.1007/978-981-33-4788-5
  • Copyright Information The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
  • Publisher Name Springer, Singapore
  • eBook Packages Intelligent Technologies and Robotics Intelligent Technologies and Robotics (R0)
  • Softcover ISBN 978-981-33-4787-8
  • eBook ISBN 978-981-33-4788-5
  • Series ISSN 2367-3370
  • Series E-ISSN 2367-3389
  • Edition Number 1
  • Number of Pages XII, 268
  • Number of Illustrations 33 b/w illustrations, 60 illustrations in colour
  • Topics Computational Intelligence
    Big Data
    Statistics, general
    Machine Learning
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