Computing with Spatial Trajectories 4/16/2017 8:53 PM Computing with Spatial Trajectories Book Overview Yu Zheng Microsoft Research Asia © 2006 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

Special Thanks To ACM SIGSPATIAL Hanan Samet, Goce Trajcevski, and Xin Chen General Chairs: Isabel Cruz and Divyakant Agrawal

A lot of trajectories generated by various moving objects 4/16/2017 8:53 PM A lot of trajectories generated by various moving objects A lot of trajectory data Trajectory mean Unique in terms of its data structure and semantic meanings, which imply rich knowledge about the mobility and behavior of moving objects. © 2006 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

Philosophy and Paradigm Moving objects Overall, spatial trajectories have offered us unprecedented information to understand moving objects and locations, calling for systematic research of new computing technologies for the processing, retrieving, and mining of trajectory data and exploring its broad applications. Locations

Part II Advanced Topics 4/16/2017 8:53 PM Edited by Yu Zheng Microsoft Research Asia Xiaofang Zhou University of Queensland Part I Foundation Chapter 1: Trajectory Preprocessing   Chapter 2: Trajectory Indexing and Retrieval Part II Advanced Topics Chapter 3: Uncertainty in Spatial Trajectories Chapter 4: Privacy of Spatial Trajectory Chapter 5: Trajectory Pattern Mining Chapter 6: Activity Recognition Based on Trajectories Chapter 7: Trajectory Analysis for Driving   Chapter 8: Location-Based Social Networks - Users Chapter 9: Location-Based Social Networks - Locations Forward by Jiawei Han University of Illinois Under such a circumstance, 17 active professionals came up with 9 chapters dealing with the concepts and technologies for solving the problems that newcomers will be faced with when exploring this field, starting from the preprocessing and managing of spatial trajectories, then to mining uncertainty, privacy, and patterns of trajectories, and finally ending with some advanced applications based on spatial trajectories including activity recognition, driving, and location-based social networks. Editorial Board Ralf Hartmut Güting Hans-Peter Kriegel Hanan Samet © 2006 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

4/16/2017 8:53 PM Framework These chapters are organized according to the paradigm of “trajectory preprocessing (prior databases) → trajectory indexing and retrieval (in databases) → advanced topics (above databases),” as illustrated in Figure 1. © 2006 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

Features A text book for (CS, EE, and GIS) A unique book dedicated to “computing with spatial trajectories” Trajectory-data-centric From foundation to advanced topics A text book for (CS, EE, and GIS) Advanced undergraduates and graduate students Researchers and professionals

Agenda

Thanks! Yu Zheng yuzheng@microsoft.com