CCAM: A Connectivity-Clustered Access Method for Networks and Network Computations
IEEE Transactions on Knowledge and Data Engineering
Clustering objects on a spatial network
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Mining, indexing, and querying historical spatiotemporal data
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
World explorer: visualizing aggregate data from unstructured text in geo-referenced collections
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
Towards automatic extraction of event and place semantics from flickr tags
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Continuous nearest neighbor search
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Query processing in spatial network databases
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
A Web Usage Mining Framework for Mining Evolving User Profiles in Dynamic Web Sites
IEEE Transactions on Knowledge and Data Engineering
World-scale mining of objects and events from community photo collections
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Proceedings of the 18th international conference on World wide web
Mining interesting locations and travel sequences from GPS trajectories
Proceedings of the 18th international conference on World wide web
Deducing trip related information from flickr
Proceedings of the 18th international conference on World wide web
Monitoring path nearest neighbor in road networks
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Mining tourist information from user-supplied collections
Proceedings of the 18th ACM conference on Information and knowledge management
Searching trajectories by locations: an efficiency study
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Mining significant semantic locations from GPS data
Proceedings of the VLDB Endowment
On trip planning queries in spatial databases
SSTD'05 Proceedings of the 9th international conference on Advances in Spatial and Temporal Databases
Photo retrieval combining ontology with visual information
Proceedings of the 2012 ACM Research in Applied Computation Symposium
Personalized trip recommendation with multiple constraints by mining user check-in behaviors
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
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Nowadays, due to the increasing user requirements of efficient and personalized services, a perfect travel plan is urgently needed. In this paper we propose a novel complex spatio-temporal sequence (STS) mining in Flickr, which retrieves the optimal STS in terms of distance, weight, visiting time, opening hour, scene features, etc.. For example, when a traveler arrives at a city, the system endow every scene with a weight automatically according to scene features and user's profiles. Then several interesting scenes (e.g., o1,o2,o3,o4,o5,o6) with larger weights (e.g., w1,w2,w3,w4,w5,w6) will be chosen. The goal of our work is to provide the traveler with the optimal STS, which passes through as many chosen scenes as possible with the maximum weight and the minimum distance within his travel time (e.g., one day). The difficulty of mining STS lies in the consideration of the weight of each scene, and its difference for different users, as well as the travel time limitation. In this paper, we provide two approximate algorithms: a local optimization algorithm and a global optimization algorithm. Finally, we give an experimental evaluation of the proposed algorithms using real datasets in Flickr.