The design and analysis of spatial data structures
The design and analysis of spatial data structures
Mining web logs to improve website organization
Proceedings of the 10th international conference on World Wide Web
Web user clustering from access log using belief function
Proceedings of the 1st international conference on Knowledge capture
Efficient Data Mining for Path Traversal Patterns
IEEE Transactions on Knowledge and Data Engineering
On mining webclick streams for path traversal patterns
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Web usage mining based on probabilistic latent semantic analysis
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Fast mining of spatial collocations
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
A partial join approach for mining co-location patterns
Proceedings of the 12th annual ACM international workshop on Geographic information systems
Discovering Colocation Patterns from Spatial Data Sets: A General Approach
IEEE Transactions on Knowledge and Data Engineering
Detecting geographic locations from web resources
Proceedings of the 2005 workshop on Geographic information retrieval
A framework for mining topological patterns in spatio-temporal databases
Proceedings of the 14th ACM international conference on Information and knowledge management
A probabilistic approach to spatiotemporal theme pattern mining on weblogs
Proceedings of the 15th international conference on World Wide Web
A Joinless Approach for Mining Spatial Colocation Patterns
IEEE Transactions on Knowledge and Data Engineering
Discovering spatial interaction patterns
DASFAA'08 Proceedings of the 13th international conference on Database systems for advanced applications
Towards Click-Based Models of Geographic Interests in Web Search
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
A case study of using geographic cues to predict query news intent
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
TWinner: understanding news queries with geo-content using Twitter
Proceedings of the 6th Workshop on Geographic Information Retrieval
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As the Internet continues to play an important role in many business applications, it becomes vital to increase the competitive edge by offering geographically tailored contents that reflect the common interests of the geographical region of the web visitors. In this paper, we define the problem of mining geographical-specific interests patterns. We utilize the quadtree to model the influence distributions of different features, and design an algorithm called Flex-iPROBER to mine geographical-specific interests patterns that are significant in a local region. We further examine how these patterns can change over time and develop an algorithm called MineGIC to efficiently discover pattern changes. Experiment results demonstrate that the proposed algorithms are scalable and efficient. Patterns discovered from real world web click datasets reveal interesting patterns and show the evolution of the interests of people in those regions.