This paper presents an approach to the discovery of association rules for fuzzy spatial data.
Association rules provide information of value in assessing significant correlations that can …

A spatial query interface has been designed and implemented in the object-oriented
paradigm for heterogeneous data sets. The object-oriented approach presented is shown to …

This paper addresses the challenge of multi-agent path planning for efficient data collection
in dynamic, uncertain environments, exemplified by autonomous underwater vehicles …

This paper introduces and formally defines a fuzzy rough object-oriented database (OODB)
model based on a formal framework using an algebraic type system and formally defined …

Access and retrieval of meteorological and oceanographic data from heterogeneous
sources in a distributed system presents many issues. Effective bandwidth utilization is …

This paper introduces and formally defines a fuzzy rough object-oriented database (OODB)
model based on a formal framework using an algebraic type system and formally defined …

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 …

The future requires military operations and intelligence communities to more heavily rely on
Internet-based solutions for the delivery of MetOc data and products to the warfighter in an …

Data mining or knowledge discovery refers to a variety of techniques having the intent of
uncovering useful patterns and associations from large databases. The initial steps of data …

Access and retrieval of meteorological and oceanographic data from heterogeneous
sources in a distributed system presents many issues. Effective bandwidth utilization is …