X-means: Extending K-means with Efficient Estimation of the Number of Clusters
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Challenge: ubiquitous location-aware computing and the "place lab" initiative
Proceedings of the 1st ACM international workshop on Wireless mobile applications and services on WLAN hotspots
Using GPS to learn significant locations and predict movement across multiple users
Personal and Ubiquitous Computing
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Learning and inferring transportation routines
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Mining behavioral groups in large wireless LANs
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Capacity scaling in delay tolerant networks with heterogeneous mobile nodes
Proceedings of the 8th ACM international symposium on Mobile ad hoc networking and computing
Reliable data collection in highly disconnected environments using mobile phones
Proceedings of the 2007 workshop on Networked systems for developing regions
A model-based WiFi localization method
Proceedings of the 2nd international conference on Scalable information systems
User-Centric Mobility Models for Opportunistic Networking
Bio-Inspired Computing and Communication
Cooperative Techniques Supporting Sensor-Based People-Centric Inferencing
Pervasive '08 Proceedings of the 6th International Conference on Pervasive Computing
Using Context Annotated Mobility Profiles to Recruit Data Collectors in Participatory Sensing
LoCA '09 Proceedings of the 4th International Symposium on Location and Context Awareness
Delay-throughput performance in mobile ad-hoc networks with heterogeneous nodes
Proceedings of the 12th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
Capacity scaling in ad hoc networks with heterogeneous mobile nodes: the super-critical regime
IEEE/ACM Transactions on Networking (TON)
PERSONAF: framework for personalised ontological reasoning in pervasive computing
User Modeling and User-Adapted Interaction
Capacity of mobile ad hoc network with infrastructure support
APCC'09 Proceedings of the 15th Asia-Pacific conference on Communications
Discovering significant places from mobile phones: a mass market solution
MELT'09 Proceedings of the 2nd international conference on Mobile entity localization and tracking in GPS-less environments
Restricted mobility improves delay-throughput tradeoffs in mobile ad hoc networks
IEEE Transactions on Information Theory
Discovering human places of interest from multimodal mobile phone data
Proceedings of the 9th International Conference on Mobile and Ubiquitous Multimedia
Mining significant semantic locations from GPS data
Proceedings of the VLDB Endowment
Personal data vaults: a locus of control for personal data streams
Proceedings of the 6th International COnference
NextPlace: a spatio-temporal prediction framework for pervasive systems
Pervasive'11 Proceedings of the 9th international conference on Pervasive computing
Deliberation for intuition: a framework for energy-efficient trip detection on cellular phones
Proceedings of the 13th international conference on Ubiquitous computing
Logging user activities and sensor data on mobile devices
MSM'10/MUSE'10 Proceedings of the 2010 international conference on Analysis of social media and ubiquitous data
Engineering Applications of Artificial Intelligence
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location-Based Social Networks
Extracting patterns from location history
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Recruitment framework for participatory sensing data collections
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
Capturing transitions between users' semantically meaningful places using mobile devices
Proceedings of the 1st ACM workshop on Mobile systems for computational social science
User location forecasting at points of interest
Proceedings of the 2012 RecSys workshop on Personalizing the local mobile experience
Detecting pedestrian flocks by fusion of multi-modal sensors in mobile phones
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
A privacy-by-design approach to location sharing
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Mining user similarity based on routine activities
Information Sciences: an International Journal
Exploring pattern-aware travel routes for trajectory search
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Sections on Paraphrasing; Intelligent Systems for Socially Aware Computing; Social Computing, Behavioral-Cultural Modeling, and Prediction
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Learning and user adaptation in location forecasting
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
Improving route prediction through user journey detection
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Generating storylines from sensor data
Pervasive and Mobile Computing
A probabilistic approach to mining mobile phone data sequences
Personal and Ubiquitous Computing
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Location-aware systems are proliferating on a variety of platforms from laptops to cell phones. Though these systems offer two principal representations in which to work with location (coordinates and landmarks) they do not offer a means for working with the user-level notion of "place". A place is a locale that is important to a user and which carries a particular semantic meaning such as "my place of work", "the place we live", or "My favorite lunch spot". Mobile devices can make more intelligent decisions about how to behave when they are equipped with this higher-level information. For example, a cell phone can switch to a silent mode when its owner enters a place where a ringer is inappropriate (e.g., a movie theater, a lecture hall, a place for personal reflection.) In this paper, we describe an algorithm for extracting significant places from a trace of coordinates. Furthermore, we experimentally evaluate the algorithm with real, long-term data collected from three participants using a Place Lab client [15], a software client that computes location coordinates by listening for RF-emissions from known radio beacons in the environment (e.g. 802.11 access points, GSM cell towers).