A fast voronoi-diagram algorithm with quaternary tree bucketing
Information Processing Letters
GeoMiner: a system prototype for spatial data mining
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Computational geometry: algorithms and applications
Computational geometry: algorithms and applications
An introduction to spatial database systems
The VLDB Journal — The International Journal on Very Large Data Bases - Spatial Database Systems
Finding Aggregate Proximity Relationships and Commonalities in Spatial Data Mining
IEEE Transactions on Knowledge and Data Engineering
Incremental Clustering for Mining in a Data Warehousing Environment
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Efficient and Effective Clustering Methods for Spatial Data Mining
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Discovery of Spatial Association Rules in Geographic Information Databases
SSD '95 Proceedings of the 4th International Symposium on Advances in Spatial Databases
SSD '95 Proceedings of the 4th International Symposium on Advances in Spatial Databases
STING: A Statistical Information Grid Approach to Spatial Data Mining
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
High-performance spatial indexing for location-based services
WWW '03 Proceedings of the 12th international conference on World Wide Web
Mining confident co-location rules without a support threshold
Proceedings of the 2003 ACM symposium on Applied computing
Mining viewpoint patterns in image databases
Proceedings of the ninth 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
A generalized framework for mining spatio-temporal patterns in scientific data
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
A framework for mining topological patterns in spatio-temporal databases
Proceedings of the 14th ACM international conference on Information and knowledge management
A Join-Less Approach for Co-Location Pattern Mining: A Summary of Results
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
A Joinless Approach for Mining Spatial Colocation Patterns
IEEE Transactions on Knowledge and Data Engineering
Spatial associative classification: propositional vs structural approach
Journal of Intelligent Information Systems
Mining spatial association rules in image databases
Information Sciences: an International Journal
Discovering co-located queries in geographic search logs
Proceedings of the first international workshop on Location and the web
AOG-ags Algorithms and Applications
ADMA '07 Proceedings of the 3rd international conference on Advanced Data Mining and Applications
Fast spatial co-location mining without cliqueness checking
Proceedings of the 17th ACM conference on Information and knowledge management
Density based co-location pattern discovery
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
International Journal of Business Intelligence and Data Mining
Mining frequent patterns in image databases with 9D-SPA representation
Journal of Systems and Software
Optimal candidate generation in spatial co-location mining
Proceedings of the 2009 ACM symposium on Applied Computing
Journal of Intelligent Information Systems
An order-clique-based approach for mining maximal co-locations
Information Sciences: an International Journal
Finding N-Most Prevalent Colocated Event Sets
DaWaK '09 Proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery
Mining spatial object associations for scientific data
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Mining correlation between locations using human location history
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Geometrical information fusion from WWW and its related information
DNIS'07 Proceedings of the 5th international conference on Databases in networked information systems
PAKDD'07 Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining
Algorithms for discovery of spatial co-orientation patterns from images
Expert Systems with Applications: An International Journal
Discovering spatial interaction patterns
DASFAA'08 Proceedings of the 13th international conference on Database systems for advanced applications
Detecting nearly duplicated records in location datasets
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
A performance evaluation framework for association mining in spatial data
Journal of Intelligent Information Systems
Efficiently mining co-location rules on interval data
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications: Part I
Mining maximal co-located event sets
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part I
SSCP: mining statistically significant co-location patterns
SSTD'11 Proceedings of the 12th international conference on Advances in spatial and temporal databases
Research of local co-location pattern in spatial event sequences
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Mining spatial colocation patterns: a different framework
Data Mining and Knowledge Discovery
Association based prefetching algorithm in mobile environments
ICESS'04 Proceedings of the First international conference on Embedded Software and Systems
Mining and filtering multi-level spatial association rules with ARES
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
Can we apply projection based frequent pattern mining paradigm to spatial co-location mining?
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
A multiple window-based co-location pattern mining approach for various types of spatial data
International Journal of Computer Applications in Technology
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We consider the problem of finding neighboring class sets. Objects of each instance of a neighboring class set are grouped using their Euclidean distances from each other. Recently, location-based services are growing along with mobile computing infrastructure such as cellular phones and PDAs. Therefore, we expect to see the development of spatial databases that contains very large number of access records including location information. The most typical type would be a database of point objects. Records of the objects may consist of "requested service name," "number of packet transmitted" in addition to x and y coordinate values indicating where the request came from. The algorithm presented here efficiently finds sets of "service names" that were frequently close to each other in the spatial database. For example, it may find a frequent neighboring class set, where "ticket" and "timetable" are frequently requested close to each other. By recognizing this, location-based service providers can promote a "ticket" service for customers who access the "timetable."