GeoMiner: a system prototype for spatial data mining
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Inductive logic programming and knowledge discovery in databases
Advances in knowledge discovery and data mining
Discovery of frequent DATALOG patterns
Data Mining and Knowledge Discovery
What You Always Wanted to Know About Datalog (And Never Dared to Ask)
IEEE Transactions on Knowledge and Data Engineering
Knowledge Discovery in Spatial Data by Means of ILP
PKDD '98 Proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery
Relative Unsupervised Discretization for Association Rule Mining
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Discovering Geographic Knowledge: The INGENS System
ISMIS '00 Proceedings of the 12th International Symposium on Foundations of Intelligent Systems
A Logical Framework for Frequent Pattern Discovery in Spatial Data
Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference
Discovery of Spatial Association Rules in Geographic Information Databases
SSD '95 Proceedings of the 4th International Symposium on Advances in Spatial Databases
Spatial Data Mining: A Database Approach
SSD '97 Proceedings of the 5th International Symposium on Advances in Spatial Databases
Spatial Subgroup Discovery Applied to the Analysis of Vegetation Data
PAKM '02 Proceedings of the 4th International Conference on Practical Aspects of Knowledge Management
Spatial Subgroup Mining Integrated in an Object-Relational Spatial Database
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Efficient Relational Learning from Sparse Data
AIMSA '02 Proceedings of the 10th International Conference on Artificial Intelligence: Methodology, Systems, and Applications
Graph-Based relational learning with a polynomial time projection algorithm
ILP'11 Proceedings of the 21st international conference on Inductive Logic Programming
Multi-Dimensional Relational Sequence Mining
Fundamenta Informaticae - Progress on Multi-Relational Data Mining
Mining closed patterns in relational, graph and network data
Annals of Mathematics and Artificial Intelligence
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In recent times, there is a growing interest in both the extension of data mining methods and techniques to spatial databases and the application of inductive logic programming (ILP) to knowledge discovery in databases (KDD). In this paper, an ILP application to association rule mining in spatial databases is presented. The discovery method has been implemented into the ILP system SPADA, which benefits from the available prior knowledge on the spatial domain, systematically explores the hierarchical structure of task-relevant geographic layers and deals with numerical aspatial properties of spatial objects. It operates on a deductive relational database set up by selecting and transforming data stored in the underlying spatial database. Preliminary experimental results have been obtained by running SPADA on geo-referenced census data of Manchester Stockport, UK.