BIRCH: an efficient data clustering method for very large databases
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
An introduction to spatial database systems
The VLDB Journal — The International Journal on Very Large Data Bases - Spatial Database Systems
Spatial SQL: A Query and Presentation Language
IEEE Transactions on Knowledge and Data Engineering
Data Mining: An Overview from a Database Perspective
IEEE Transactions on Knowledge and Data Engineering
Data-Driven Discovery of Quantitative Rules in Relational Databases
IEEE Transactions on Knowledge and Data Engineering
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 Multiple-Level Association Rules from Large Databases
VLDB '95 Proceedings of the 21th 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
Mining frequent neighboring class sets in spatial databases
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
An Approach to Active Spatial Data Mining Based on Statistical Information
IEEE Transactions on Knowledge and Data Engineering
Object-Based Selective Materialization for Efficient Implementation of Spatial Data Cubes
IEEE Transactions on Knowledge and Data Engineering
Efficiently Computing Weighted Proximity Relationships in Spatial Databases
WAIM '01 Proceedings of the Second International Conference on Advances in Web-Age Information Management
Join Indices as a Tool for Spatial Data Mining
TSDM '00 Proceedings of the First International Workshop on Temporal, Spatial, and Spatio-Temporal Data Mining-Revised Papers
Pattern Discovery in Probabilistic Databases
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Robust Clustering of Large Geo-referenced Data Sets
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
Efficient Polygon Amalgamation Methods for Spatial OLAP and Spatial Data Mining
SSD '99 Proceedings of the 6th International Symposium on Advances in Spatial Databases
Efficiently Matching Proximity Relationships in Spatial Databases
SSD '99 Proceedings of the 6th International Symposium on Advances in Spatial Databases
Pre-aggregation in Spatial Data Warehouses
SSTD '01 Proceedings of the 7th International Symposium on Advances in Spatial and Temporal Databases
Discovering Associations between Spatial Objects: An ILP Application
ILP '01 Proceedings of the 11th International Conference on Inductive Logic Programming
A bibliography of temporal, spatial and spatio-temporal data mining research
ACM SIGKDD Explorations Newsletter
Inducing Multi-Level Association Rules from Multiple Relations
Machine Learning
Representing spatiality in a conceptual multidimensional model
Proceedings of the 12th annual ACM international workshop on Geographic information systems
Geo-word centric association rule mining
Proceedings of the 6th international conference on Mobile data management
An open source and web based framework for geographic and multidimensional processing
Proceedings of the 2006 ACM symposium on Applied computing
Spatial ordering and encoding for geographic data mining and visualization
Journal of Intelligent Information Systems
Discovery of spatial association rules in geo-referenced census data: A relational mining approach
Intelligent Data Analysis
Discovering co-located queries in geographic search logs
Proceedings of the first international workshop on Location and the web
Efficient mining of salinity and temperature association rules from ARGO data
Expert Systems with Applications: An International Journal
Effective Spatial Characterization System Using Density-Based Clustering
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part II
International Journal of Geographical Information Science
Density based co-location pattern discovery
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
Mining frequent patterns in image databases with 9D-SPA representation
Journal of Systems and Software
Journal of Intelligent Information Systems
Computers and Electronics in Agriculture
Seismo-surfer: a prototype for collecting, querying, and mining seismic data
PCI'01 Proceedings of the 8th Panhellenic conference on Informatics
Association rule mining: models and algorithms
Association rule mining: models and algorithms
The study of spatial outliers detection based on knowledge discovery and data mining
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1
Research on spatial data mining based on knowledge discovery
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Co-location pattern mining for unevenly distributed data: algorithm, experiments and applications
International Journal of Computational Science and Engineering
A niched genetic programming algorithm for classification rules discovery in geographic databases
SEAL'10 Proceedings of the 8th international conference on Simulated evolution and learning
On the requirements for user-centric spatial data warehousing and SOLAP
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications
Providing geographic-multidimensional decision support over the web
APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
Outlier detection in relational data: A case study in geographical information systems
Expert Systems with Applications: An International Journal
A spatial clustering algorithm based on SOFM
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Spatio–temporal rule mining: issues and techniques
DaWaK'05 Proceedings of the 7th international conference on Data Warehousing and Knowledge Discovery
Mining and filtering multi-level spatial association rules with ARES
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
GeWOlap: a web based spatial OLAP proposal
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part II
The pattern next door: towards spatio-sequential pattern discovery
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Sequential pattern mining -- approaches and algorithms
ACM Computing Surveys (CSUR)
Data Mining Approaches for Geo-Spatial Big Data: Uncertainty Issues
International Journal of Organizational and Collective Intelligence
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Spatial data mining is to mine high-level spatial information and knowledge from large spatial databases. A spatial data mining system prototype, GeoMiner, has been designed and developed based on our years of experience in the research and development of relational data mining system, DBMiner, and our research into spatial data mining. The data mining power of GeoMiner includes mining three kinds of rules: characteristic rules, comparison rules, and association rules, in geo-spatial databases, with a planned extension to include mining classification rules and clustering rules. The SAND (Spatial And Nonspatial Data) architecture is applied in the modeling of spatial databases, whereas GeoMiner includes the spatial data cube construction module, spatial on-line analytical processing (OLAP) module, and spatial data mining modules. A spatial data mining language, GMQL (Geo-Mining Query Language), is designed and implemented as an extension to Spatial SQL [3], for spatial data mining. Moreover, an interactive, user-friendly data mining interface is constructed and tools are implemented for visualization of discovered spatial knowledge.