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Proceedings of 6th International Conference on Big Data and Cloud Computing Challenges

ICBCC 2019, UMKC, Kansas City, USA

  • Includes outstanding research papers presented at ICBCC 2019
  • Discusses new findings in big data and cloud computing
  • Serves as a reference resource for researchers and practitioners in academia and industry

Part of the book series: Smart Innovation, Systems and Technologies (SIST, volume 164)

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xii
  2. Big Data

    1. Front Matter

      Pages 1-1
    2. Big Data in Healthcare: Challenges and Promise

      • Siddharth Kale, Harsh Tamakuwala, V. Vijayakumar, Longzhi Yang, Bharat S. Rawal Kshatriya
      Pages 3-17
    3. MEDIDRONE—A Predictive Analytics-Based Smart Healthcare System

      • D. Sangeetha, M. Venkata Rathnam, R. Vignesh, Jitta Sai Chaitanya, V. Vaidehi
      Pages 19-33
    4. Sales Segmentation for a Mobile Phone Service Through Logistic Regression Algorithm

      • Amelec Viloria, Guojun Wang, Mercedes Gaitan
      Pages 35-44
    5. Predictive Model for Detecting Customer’s Purchasing Behavior Using Data Mining

      • Amelec Viloria, Jin Li, Jesús García Guiliany, Boris de la Hoz
      Pages 45-54
    6. Prediction Rules in E-Learning Systems Using Genetic Programming

      • Amelec Viloria, Mercedes Gaitan Angulo, Sadhana J. Kamatkar, Juan de la Hoz – Hernandez, Jesús García Guiliany, Osman Redondo Bilbao et al.
      Pages 55-63
    7. Database Knowledge Discovery in Marketing Companies

      • Amelec Viloria, Jin Li, Jessica Manosalva Sandoval, Jesús Vargas Villa
      Pages 65-75
    8. Influence of Knowledge Management Between the Bank and the Local Socioeconomic Development: Correlational Analysis

      • Aliana Gómez Pons, Omar Bonerge Pineda Lezama, Noel Varela Izquierdo, Hernán Hernández Herrera, Jesús Silva
      Pages 87-103
    9. Characterization of Latin American Universities in the TOP10 of the Rankings

      • Maritza Torres-Samuel, Carmen Vásquez, Marisabel Luna, Nunziatina Bucci, Amelec Viloria, Jesús Vargas
      Pages 105-118
    10. A Graph-Based Node Identification Model in Social Networks

      • V. Subramaniyaswamy, V. Vijayakumar, Dhivya Sri, Jane Tresa, Logesh Ravi
      Pages 119-130
  3. Cloud Computing

    1. Front Matter

      Pages 131-131
    2. Automated Resource Management on AWS Cloud Platform

      • Simeen Sheikh, G. Suganya, M. Premalatha
      Pages 133-147
  4. VANET and Block Chain

    1. Front Matter

      Pages 163-163
    2. Managing Blockchain Projects with Agile Methodology

      • Ghassan Al-Mazrouai, Smiju Sudevan
      Pages 179-187
  5. Back Matter

    Pages 189-190

About this book

The book presents papers from the 6th International Conference on Big Data and Cloud Computing Challenges (ICBCC 2019), held at the University of Missouri, Kansas City, USA, on September 9 and 10, 2019 and organized in collaboration with VIT Chennai. The book includes high-quality, original research on various aspects of big data and cloud computing, offering perspectives from the industrial and research communities on how to address the current challenges in the field. As such it is a valuable reference resource for researchers and practitioners in academia and industry.

 

Editors and Affiliations

  • School of Computing Science and Engineering, VIT, Chennai, India

    V. Vijayakumar, V. Neelanarayanan

  • School of Computing and Engineering, University of Missouri-Kansas City, Kansas, USA

    Praveen Rao

  • Department of Computer Science, University of New Brunswick, Fredericton, Canada

    Janet Light

About the editors

Vijayakumar Varadarajan is currently a Professor for School of Computing Science and Engineering at VIT University, Chennai, India. He has more than 16 years of experience including industrial and institutional. He also served as a Team Lead in industries like Satyam, Mahindra Satyam, and Tech Mahindra for several years. He has completed Diploma with First-Class Honors. He has completed B.E. CSE and M.B.A. HRD with First Class. He has also completed M.E. CSE with First Rank Award. He has completed his Ph.D. from Anna University in 2012. He has published many articles in national- and international-level journals/conferences/books. He is a reviewer in IEEE Transactions, Inderscience, and Springer Journals. He has initiated a number of international research collaborations with universities in Europe, Australia, Africa, and North America including University of Missouri. He had also initiated joint research collaboration between VIT University and industries including FSS. He received his university-level Best Faculty Award for 2015–2016. He is also a Member of several national and international professional bodies including ISTE, IAENG, and CSTA.

Neelanarayanan Venkataraman received his Master of Science in Computer Science from Madurai Kamaraj University, India, in 1995 and Ph.D. from IT University of Copenhagen, Denmark, in 2012. Currently, he is an Associate Professor at VIT University, Chennai, India. Before joining VIT University, he has worked as a Scientist at Centre for Advanced Computing (CDAC), India, and as a Lecturer in Madurai Kamaraj University, India, and its affiliated institutions. His areas of research include distributed computing such as grid and cloud computing, context-aware computing, network management and security, XML-based security technologies, and e-communities. He has initiated a number of international research collaborations with universities in Europe, Australia, and South Korea as a Research Group Coordinatorand Chief Investigator at VIT University. He was instrumental for initiating joint research collaboration between VIT University and industries such as CDAC and DLink. He received the research award in VIT University for the year 2015 for his achievements, exemplary commitment, dedication, and motivation towards research publication during 2015–16.

Dr. Praveen Rao is an Associate Professor in the Department of Computer Science & Electrical Engineering at University of Missouri-Kansas City (UMKC). He joined UMKC in 2007 as an Assistant Professor. His research interests are in the areas of data and knowledge management, data science, and health informatics. His research, teaching, and outreach activities have been supported by the National Science Foundation (NSF), Air Force Research Laboratory (AFRL), University of Missouri Research Board, Intel Labs, IBM, Amazon Web Services Education Research Grant, Microsoft Azure Research Award, Headquarters CounselingCenter (Kansas), and Kansas City Power and Light (KCP&L). In 2010, he received the IBM Smarter Planet Faculty Innovation Award. In 2013, he was one of the 14 professors worldwide to receive the IBM Big Data and Analytics Faculty Award. In 2015 and 2016, he was selected as a fellow in the U.S. Air Force Research Lab Summer Faculty Fellowship Program. In 2015, he spent part of his summer as a visiting researcher at the Xerox Research Center India (XRCI). In the same year, he became a Senior Member of the IEEE. In 2016, he received the prestigious National Research Council (NRC) Research Associateship Award to conduct research at the Air Force Research Laboratory in Rome, NY, for one year.

Janet Light is a Professor and Chair, in the Department of Computer Science & Applied Statistics at UNB (Saint John). Dr. Light joined UNB in 2002 as an Assistant Professor and was promoted to a Full Professor in 2012. Her research is focused on wireless networks & mobile computing, ubiquitous computing, sensor networks, network traffic study, and security. In her applied research work, she is studying the effective use of wireless sensor networks for health monitoring and emergency response. She has successfully developed a wireless communication system for the 911 pre-hospital paramedics in New Brunswick, to collect vital patient data from an incident site and send them to a hospital in real time as HL7 clinical messages. She is a Senior IEEE Member, the Vice Chair of the IEEE-NB Section, and currently the IEEE-R7 WIE Chair.

 

 

Bibliographic Information

  • Book Title: Proceedings of 6th International Conference on Big Data and Cloud Computing Challenges

  • Book Subtitle: ICBCC 2019, UMKC, Kansas City, USA

  • Editors: V. Vijayakumar, V. Neelanarayanan, Praveen Rao, Janet Light

  • Series Title: Smart Innovation, Systems and Technologies

  • DOI: https://doi.org/10.1007/978-981-32-9889-7

  • Publisher: Springer Singapore

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: Springer Nature Singapore Pte Ltd. 2020

  • Hardcover ISBN: 978-981-32-9888-0Published: 17 October 2019

  • Softcover ISBN: 978-981-32-9891-0Published: 17 October 2020

  • eBook ISBN: 978-981-32-9889-7Published: 04 October 2019

  • Series ISSN: 2190-3018

  • Series E-ISSN: 2190-3026

  • Edition Number: 1

  • Number of Pages: XII, 190

  • Number of Illustrations: 11 b/w illustrations, 57 illustrations in colour

  • Topics: Data Engineering, Big Data, Systems and Data Security, Mobile Computing

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access