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Mobility Data Management and Exploration

  • Textbook
  • © 2014

Overview

Authors:
  1. Nikos Pelekis

    1. Dept. of Statistics and Insurance Science, University of Piraeus, Piraeus, Greece

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  2. Yannis Theodoridis

    1. Dept. of Informatics, University of Piraeus, Piraeus, Greece

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    You can also search for this author in PubMed   Google Scholar

  • Integrates mobility data handling processes to meet real-world application requirements
  • Supports practical applications with supplementary software (Hermes MOD engine)
  • Presents real case studies to validate applications
  • Includes sample exercises, sample project proposals and parallel teaching slides
  • Includes supplementary material: sn.pub/extras

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Table of contents (13 chapters)

  1. Front Matter

    Pages i-xv
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  2. Setting the Scene

    1. Front Matter

      Pages 1-1
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    2. Introduction

      • Nikos Pelekis, Yannis Theodoridis
      Pages 3-20

    3. Background on Spatial Data Management and Exploration

      • Nikos Pelekis, Yannis Theodoridis
      Pages 21-47

  3. Mobility Data Management

    1. Front Matter

      Pages 49-49
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    2. Modeling and Acquiring Mobility Data

      • Nikos Pelekis, Yannis Theodoridis
      Pages 51-73

    3. Mobility Database Management

      • Nikos Pelekis, Yannis Theodoridis
      Pages 75-99

    4. Moving Object Database Engines

      • Nikos Pelekis, Yannis Theodoridis
      Pages 101-118

  4. Mobility Data Exploration

    1. Front Matter

      Pages 119-119
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    2. Preparing for Mobility Data Exploration

      • Nikos Pelekis, Yannis Theodoridis
      Pages 121-141

    3. Mobility Data Mining and Knowledge Discovery

      • Nikos Pelekis, Yannis Theodoridis
      Pages 143-167

    4. Privacy-Aware Mobility Data Exploration

      • Nikos Pelekis, Yannis Theodoridis
      Pages 169-185

  5. Advanced Topics

    1. Front Matter

      Pages 187-187
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    2. Semantic Aspects on Mobility Data

      • Nikos Pelekis, Yannis Theodoridis
      Pages 189-209

    3. The Case of Big Mobility Data

      • Nikos Pelekis, Yannis Theodoridis
      Pages 211-231

  6. Epilogue, Hands-on

    1. Front Matter

      Pages 233-233
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    2. Epilogue

      • Nikos Pelekis, Yannis Theodoridis
      Pages 235-237

    3. Hands-on with Hermes@Oracle MOD

      • Nikos Pelekis, Yannis Theodoridis
      Pages 239-277

    4. Hands-on with Hermes@Postgres MOD

      • Nikos Pelekis, Yannis Theodoridis
      Pages 279-298

  7. Back Matter

    Pages 299-300
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Keywords

About this book

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.

Authors and Affiliations

  • Dept. of Statistics and Insurance Science, University of Piraeus, Piraeus, Greece

    Nikos Pelekis

  • Dept. of Informatics, University of Piraeus, Piraeus, Greece

    Yannis Theodoridis

Bibliographic Information

  • Book Title: Mobility Data Management and Exploration

  • Authors: Nikos Pelekis, Yannis Theodoridis

  • DOI: https://doi.org/10.1007/978-1-4939-0392-4

  • Publisher: Springer New York, NY

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Science+Business Media New York 2014

  • Hardcover ISBN: 978-1-4939-0391-7

  • Softcover ISBN: 978-1-4939-4510-8

  • eBook ISBN: 978-1-4939-0392-4

  • Edition Number: 1

  • Number of Pages: XV, 300

  • Number of Illustrations: 157 b/w illustrations

  • Topics: Database Management, Data Mining and Knowledge Discovery, Systems and Data Security

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