Computing with Spatial Trajectories
Spatial trajectories have been bringing the unprecedented wealth to a variety of research communities. A spatial trajectory records the paths of a variety of moving objects, such as people who log their travel routes with GPS trajectories. The field of mo
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Yu Zheng • Xiaofang Zhou Editors
Computing with Spatial Trajectories Foreword by Jiawei Han
Editors Yu Zheng Microsoft Research Asia Beijing China, People’s Republic [email protected]
Xiaofang Zhou School of Information Technology and Electrical Engineering University of Queensland Brisbane Queensland Australia
ISBN 978-1-4614-1628-9 e-ISBN 978-1-4614-1629-6 DOI 10.1007/978-1-4614-1629-6 Springer New York Dordrecht Heidelberg London Library of Congress Control Number: 2011938480 © Springer Science+Business Media, LLC 2011 All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Foreword
With the rapid development of wireless communication and mobile computing technologies and global positioning and navigational systems, spatial trajectory data has been mounting up, calling for systematic research and development of new computing technologies for storage, preprocessing, retrieving, and mining of trajectory data and exploring its broad applications. Thus, computing with spatial trajectories becomes an increasingly important research theme. Although there are many books on spatial databases, mobile computing, and data mining, this is a unique book dedicated to computing with spatial trajectory data, with a broad spectrum of coverage and authoritative overview. Despite of many years of research on algorithms and methods on general database systems and data mining, spatial trajectory computing deserves dedicated study and in-depth treatment because of its unique nature of data semantics, structures, and applications. Such a unique nature calls for in-depth study of many interesting issues, including spatial trajectory data preprocessing, trajectory indexing and query processing, trajectory pattern mining, uncertainty and privacy in trajectory data, location-based social networks, and application of trajectory computing, such as for driving and other activities. This book, “Computing with Spatial Trajectories”, by Yu Zheng and Xiaofang Zhou, provides a comprehensive coverage on the above topics timely, with conciseness and clear organization. The authors of the book are active researchers on different aspects on computing with spatial trajectories, and have made tangible contributions to the progress of this dynamic research frontier. This ensures that
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