Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
The nature of statistical learning theory
The nature of statistical learning theory
Fuzzy logic: intelligence, control, and information
Fuzzy logic: intelligence, control, and information
Introduction: special issue on ‘uncertainty in geographic information systems’
Fuzzy Sets and Systems - Special issue on Uncertainty in geographic information systems and spatial data
Data mining: concepts and techniques
Data mining: concepts and techniques
Principles of data mining
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A variety of data mining techniques are under evaluation on the spatial data of concern in our setting. We are planning to integrate a number of these techniques into our geospatial system (GIDB). Three approaches are under special consideration and are described in the paper. A COTS data mining system has been successfully used to develop predictive models of near-shore conditions such as wave height for naval amphibious operations. Attribute generalization was applied to seafloor data to obtain statements about conditions relevant to mine warfare. Finally an extension of association rule discovery applied to fuzzy spatial data that is under development is discussed.