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Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications
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O-Cluster: Scalable Clustering of Large High Dimensional Data Sets
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Learning Significant Locations and Predicting User Movement with GPS
ISWC '02 Proceedings of the 6th IEEE International Symposium on Wearable Computers
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Personal and Ubiquitous Computing
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Extracting places from traces of locations
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"I'm waiting where we met last time": exploring everyday positioning practices to inform design
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WMCSA '04 Proceedings of the Sixth IEEE Workshop on Mobile Computing Systems and Applications
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CHI '05 Extended Abstracts on Human Factors in Computing Systems
Because I carry my cell phone anyway: functional location-based reminder applications
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Large-scale localization from wireless signal strength
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Location-based activity recognition using relational Markov networks
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
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INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
Learning and recognizing the places we go
UbiComp'05 Proceedings of the 7th international conference on Ubiquitous Computing
Place-Its: a study of location-based reminders on mobile phones
UbiComp'05 Proceedings of the 7th international conference on Ubiquitous Computing
SerPens: a tool for semantically enriched location information on personal devices
BodyNets '08 Proceedings of the ICST 3rd international conference on Body area networks
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Methods for extracting place semantics from Flickr tags
ACM Transactions on the Web (TWEB)
A tag in the hand: supporting semantic, social, and spatial navigation in museums
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Cooperative Techniques Supporting Sensor-Based People-Centric Inferencing
Pervasive '08 Proceedings of the 6th International Conference on Pervasive Computing
Discovering semantically meaningful places from pervasive RF-beacons
Proceedings of the 11th international conference on Ubiquitous computing
PERSONAF: framework for personalised ontological reasoning in pervasive computing
User Modeling and User-Adapted Interaction
CenceMe: injecting sensing presence into social networking applications
EuroSSC'07 Proceedings of the 2nd European conference on Smart sensing and context
A knowledge-based model using ontologies for personalized web information gathering
Web Intelligence and Agent Systems
Implicit authentication for mobile devices
HotSec'09 Proceedings of the 4th USENIX conference on Hot topics in security
Modeling people's place naming preferences in location sharing
Proceedings of the 12th ACM international conference on Ubiquitous computing
Studying mobile context-aware social services in the wild
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A system for destination and future route prediction based on trajectory mining
Pervasive and Mobile Computing
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Web Semantics: Science, Services and Agents on the World Wide Web
SeMiTri: a framework for semantic annotation of heterogeneous trajectories
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Transactions on Data Privacy
NextPlace: a spatio-temporal prediction framework for pervasive systems
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Employing user feedback for semantic location services
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Towards ambient intelligence in the classroom
UAHCI'11 Proceedings of the 6th international conference on Universal access in human-computer interaction: applications and services - Volume Part IV
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AWESOM: automatic discrete partitioning of indoor spaces for wifi fingerprinting
Pervasive'12 Proceedings of the 10th international conference on Pervasive Computing
Automatically characterizing places with opportunistic crowdsensing using smartphones
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Discovering personally semantic places from GPS trajectories
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WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
Mining user similarity based on routine activities
Information Sciences: an International Journal
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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
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ACM Transactions on the Web (TWEB)
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The discovery of a person's meaningful places involves obtaining the physical locations and their labels for a person's places that matter to his daily life and routines. This problem is driven by the requirements from emerging location-aware applications, which allow a user to pose queries and obtain information in reference to places, for example, “home”, “work” or “Northwest Health Club”. It is a challenge to map from physical locations to personally meaningful places due to a lack of understanding of what constitutes the real users' personally meaningful places. Previous work has explored algorithms to discover personal places from location data. However, we know of no systematic empirical evaluations of these algorithms, leaving designers of location-aware applications in the dark about their choices. Our work remedies this situation. We extended a clustering algorithm to discover places. We also defined a set of essential evaluation metrics and an interactive evaluation framework. We then conducted a large-scale experiment that collected real users' location data and personally meaningful places, and illustrated the utility of our evaluation framework. Our results establish a baseline that future work can measure itself against. They also demonstrate that that our algorithm discovers places with reasonable accuracy and outperforms the well-known K-Means clustering algorithm for place discovery. Finally, we provide evidence that shapes more complex than “points” are required to represent the full range of people's everyday places.