Mobility Data Management and Exploration

  • Nikos Pelekis
  • Yannis Theodoridis

Table of contents

  1. Front Matter
    Pages i-xv
  2. Setting the Scene

    1. Front Matter
      Pages 1-1
    2. Nikos Pelekis, Yannis Theodoridis
      Pages 3-20
    3. Nikos Pelekis, Yannis Theodoridis
      Pages 21-47
  3. Mobility Data Management

    1. Front Matter
      Pages 49-49
    2. Nikos Pelekis, Yannis Theodoridis
      Pages 51-73
    3. Nikos Pelekis, Yannis Theodoridis
      Pages 75-99
    4. Nikos Pelekis, Yannis Theodoridis
      Pages 101-118
  4. Mobility Data Exploration

    1. Front Matter
      Pages 119-119
    2. Nikos Pelekis, Yannis Theodoridis
      Pages 121-141
    3. Nikos Pelekis, Yannis Theodoridis
      Pages 143-167
    4. Nikos Pelekis, Yannis Theodoridis
      Pages 169-185
  5. Advanced Topics

    1. Front Matter
      Pages 187-187
    2. Nikos Pelekis, Yannis Theodoridis
      Pages 189-209
    3. Nikos Pelekis, Yannis Theodoridis
      Pages 211-231
  6. Epilogue, Hands-on

    1. Front Matter
      Pages 233-233
    2. Nikos Pelekis, Yannis Theodoridis
      Pages 235-237
    3. Nikos Pelekis, Yannis Theodoridis
      Pages 239-277
    4. Nikos Pelekis, Yannis Theodoridis
      Pages 279-298
  7. Back Matter
    Pages 299-300

About this book

Introduction

This text integrates different mobility data handling processes, from database management to multi-dimensional analysis and mining, into a unified presentation driven by the spectrum of requirements raised by real-world applications. It presents a step-by-step methodology to understand and exploit mobility data: collecting and cleansing data, storage in Moving Object Database (MOD) engines, indexing, processing, analyzing and mining mobility data. Emerging issues, such as semantic and privacy-aware querying and mining as well as distributed data processing, are also covered. Theoretical presentation is smoothly interchanged with hands-on exercises and case studies involving an actual MOD engine. The authors are established experts who address both theoretical and practical dimensions of the field but also present valuable prototype software. The background context, clear explanations and sample exercises make this an ideal textbook for graduate students studying database management, data mining and geographic information systems.

Keywords

Big mobility data Location-based services Location-based social networks MOD Mobility data management Mobility data mining Moving object databases Privacy-aware data publishing Query processing Semantic trajectories Sequential pattern mining Spatial data Trajectory databases Trajectory warehouses

Authors and affiliations

  • Nikos Pelekis
    • 1
  • Yannis Theodoridis
    • 2
  1. 1.Dept. of Statistics and Insurance ScienceUniversity of PiraeusPiraeusGreece
  2. 2.Dept. of InformaticsUniversity of PiraeusPiraeusGreece

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4939-0392-4
  • Copyright Information Springer Science+Business Media New York 2014
  • Publisher Name Springer, New York, NY
  • eBook Packages Computer Science
  • Print ISBN 978-1-4939-0391-7
  • Online ISBN 978-1-4939-0392-4
  • About this book
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