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Data, Engineering and Applications

Volume 2

  • Rajesh Kumar Shukla
  • Jitendra Agrawal
  • Sanjeev Sharma
  • Geetam Singh Tomer

Table of contents

  1. Front Matter
    Pages i-x
  2. Big Data and Cloud Computing

    1. Front Matter
      Pages 1-1
    2. Sahiba Suryawanshi, Praveen Kaushik
      Pages 3-11
    3. Priyamwada Sharma, Vedant Sharma
      Pages 13-23
    4. Victoria Samuel, Adewole Adewumi, Benjamin Dada, Nicholas Omoregbe, Sanjay Misra, Modupe Odusami
      Pages 25-31
    5. Madhur Patidar, Pratosh Bansal
      Pages 33-43
  3. Network and Securities

    1. Front Matter
      Pages 75-75
    2. Anubha Chaturvedi, Brijesh Kumar Chaurasia
      Pages 85-91
    3. Neha Gupta, Ritu Prasad, Praneet Saurabh, Bhupendra Verma
      Pages 93-101
    4. Preeti Pandey, Atul Barve
      Pages 103-117
    5. Bansidhar Joshi, Bineet Joshi, Kritika Rani
      Pages 119-128
    6. Sandeep Rai, Rajesh Boghey, Dipesh Shahane, Priyanka Saxena
      Pages 129-145
    7. Shikha Rathore, Jitendra Agrawal, Sanjeev Sharma, Santosh Sahu
      Pages 147-161
    8. Kunj Bihari Meena, Vipin Tyagi
      Pages 163-194
    9. Mayank Lovanshi, Pratosh Bansal
      Pages 195-204
    10. Aumreesh Kumar Saxena, Piyush Shukla, Sitesh Kumar Sinha
      Pages 217-227
    11. Pooja Yadav, Raghuraj Suryavanshi, Arun Kumar Singh, Divakar Yadav
      Pages 229-241
  4. Internet of Things and Related Areas

    1. Front Matter
      Pages 243-243
    2. Falade Adesola, Sanjay Misra, Nicholas Omoregbe, Robertas Damasevicius, Rytis Maskeliunas
      Pages 245-254
    3. Sanjay Misra, Abraham Ayegba Alfa, Kehinde Douglas Ajagbe, Modupe Odusami, Olusola Abayomi-Alli
      Pages 255-265
    4. Nicholas Omoregbe, Sanjay Misra, Rytis Maskeliunas, Robertas Damasevicius, Adesola Falade, Adewole Adewumi
      Pages 267-275
    5. Neha Dalwadi, Mamta Padole
      Pages 285-296
    6. Adeyemi Alabi, Oluwasikemi Ogunleye, Sanjay Misra, Olusola Abayomi-Alli, Ravin Ahuja, Modupe Odusami
      Pages 297-311
    7. Vijay Bhandari, Sitendra Tamrakar, Piyush Shukla, Arpana Bhandari
      Pages 321-329

About this book

Introduction

This book presents a compilation of current trends, technologies, and challenges in connection with Big Data. Many fields of science and engineering are data-driven, or generate huge amounts of data that are ripe for the picking. There are now more sources of data than ever before, and more means of capturing data. At the same time, the sheer volume and complexity of the data have sparked new developments, where many Big Data problems require new solutions. 
Given its scope, the book offers a valuable reference guide for all graduate students, researchers, and scientists interested in exploring the potential of Big Data applications.

Keywords

Big Data Text Mining Clustering Cloud Computing Ad-hoc

Editors and affiliations

  • Rajesh Kumar Shukla
    • 1
  • Jitendra Agrawal
    • 2
  • Sanjeev Sharma
    • 3
  • Geetam Singh Tomer
    • 4
  1. 1.Department of Computer Science and EngineeringSagar Institute of Research & Technology (SIRT)BhopalIndia
  2. 2.School of Information TechnologyRajiv Gandhi Technical UniversityBhopalIndia
  3. 3.School of Information TechnologyRajiv Gandhi Technological UniversityBhopalIndia
  4. 4.THDC Institute of Hydropower Engineering and TechnologyTehriIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-13-6351-1
  • Copyright Information Springer Nature Singapore Pte Ltd. 2019
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science
  • Print ISBN 978-981-13-6350-4
  • Online ISBN 978-981-13-6351-1
  • Buy this book on publisher's site