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Nikos Pelekis, Yannis Theodoridis Mobility Data Management and Exploration Springer, 2014. ISBN: 978-1-4939-0391-7
Book flyer: pdf |
Abstract: Mobility data is ubiquitous, particularly due to the automated collection of time-stamped location information from GPS-equipped devices, from everyday smartphones to dedicated software and hardware in charge of monitoring movement in land, sea, and air. Such wealth of data, referenced both in space and time, enables novel classes of applications and services of high societal and economic impact, provided that the discovery of consumable and concise knowledge out of these raw data collections is made possible. In this book, we aim at presenting a step-by-step methodology to understand, manage, and exploit mobility data: from the collecting and cleansing data stage, to their storage in Moving Object Database (MOD) engines, and, then, analyzing and mining mobility data for decision making purposes. Privacy aspects arising from handling mobility data and emerging topics, such as semantic-aware and distributed data management, towards the Big Data era, are also covered. Theoretical presentation is smoothly accompanied by hands-on experience with Hermes tool, a real MOD engine developed at InfoLab, University of Piraeus. About the authors: Nikos Pelekis and Yannis Theodoridis are faculty members at the University of Piraeus, Greece. For more information about their activity, please visit infolab.cs.unipi.gr ——- last update: 10-Feb-2014
