Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
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Thinning Methodologies-A Comprehensive Survey
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Computer Vision
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An energy-efficient mobile recommender system
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Geographical topic discovery and comparison
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Machine learning approaches for high-resolution urban land cover classification: a comparative study
Proceedings of the 2nd International Conference on Computing for Geospatial Research & Applications
Driving with knowledge from the physical world
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
A taxi business intelligence system
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Discovering spatio-temporal causal interactions in traffic data streams
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 13th international conference on Ubiquitous computing
Where to find my next passenger
Proceedings of the 13th international conference on Ubiquitous computing
Space-time dynamics of topics in streaming text
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Computing with Spatial Trajectories
Computing with Spatial Trajectories
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Inferring land use from mobile phone activity
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Sensing places' life to make city smarter
Proceedings of the ACM SIGKDD International Workshop on Urban Computing
Urban point-of-interest recommendation by mining user check-in behaviors
Proceedings of the ACM SIGKDD International Workshop on Urban Computing
Coordinated clustering algorithms to support charging infrastructure design for electric vehicles
Proceedings of the ACM SIGKDD International Workshop on Urban Computing
The preface of the 4th International Workshop on Location-Based Social Networks
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Exploring trajectory-driven local geographic topics in foursquare
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Mining the semantics of origin-destination flows using taxi traces
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Geo topic model: joint modeling of user's activity area and interests for location recommendation
Proceedings of the sixth ACM international conference on Web search and data mining
Geo-spotting: mining online location-based services for optimal retail store placement
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
U-Air: when urban air quality inference meets big data
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Modeling and probabilistic reasoning of population evacuation during large-scale disaster
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Modeling urban traffic dynamics in coexistence with urban data streams
Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing
On the importance of temporal dynamics in modeling urban activity
Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing
Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing
Analyzing the composition of cities using spatial clustering
Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing
Inferring human activities from GPS tracks
Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing
Exploring venue-based city-to-city similarity measures
Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing
Whose "city of tomorrow" is it?: on urban computing, utopianism, and ethics
Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing
coRide: carpool service with a win-win fare model for large-scale taxicab networks
Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems
Proceedings of The First ACM SIGSPATIAL International Workshop on Computational Models of Place
Temporal decomposition and semantic enrichment of mobility flows
Proceedings of the 6th ACM SIGSPATIAL International Workshop on Location-Based Social Networks
Where you like to go next: successive point-of-interest recommendation
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
From taxi GPS traces to social and community dynamics: A survey
ACM Computing Surveys (CSUR)
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The development of a city gradually fosters different functional regions, such as educational areas and business districts. In this paper, we propose a framework (titled DRoF) that Discovers Regions of different Functions in a city using both human mobility among regions and points of interests (POIs) located in a region. Specifically, we segment a city into disjointed regions according to major roads, such as highways and urban express ways. We infer the functions of each region using a topic-based inference model, which regards a region as a document, a function as a topic, categories of POIs (e.g., restaurants and shopping malls) as metadata (like authors, affiliations, and key words), and human mobility patterns (when people reach/leave a region and where people come from and leave for) as words. As a result, a region is represented by a distribution of functions, and a function is featured by a distribution of mobility patterns. We further identify the intensity of each function in different locations. The results generated by our framework can benefit a variety of applications, including urban planning, location choosing for a business, and social recommendations. We evaluated our method using large-scale and real-world datasets, consisting of two POI datasets of Beijing (in 2010 and 2011) and two 3-month GPS trajectory datasets (representing human mobility) generated by over 12,000 taxicabs in Beijing in 2010 and 2011 respectively. The results justify the advantages of our approach over baseline methods solely using POIs or human mobility.