This paper describes a framework for the estimation of shape from sparse or incomplete range data. It uses a shape representation called blending, which allows for the geometric c...
The Subdue structural discovery system is being used as the Data Mining tool to study the "Orizaba Fault" located in Mexico, as part of a research project of the geologi...
Jesus A. Gonzalez, Lawrence B. Holder, Diane J. Co...
Spatial associative classification takes advantage of employing association rules for spatial classification purposes. In this work, we investigate spatial associative classificati...
The time required for a sequence of operations on a data structure is usually measured in terms of the worst possible such sequence. This, however, is often an overestimate of the ...
Our goal is to model the way people induce knowledge from rare and sparse data. This paper describes a theoretical framework for inducing knowledge from these incomplete data descr...