Scale-space clustering methods have a variety of applications in image processing, spatial
imagery data mining, classification of land uses, identification of seismic belts, pattern …

Similar geographic areas often have great variations in population size. In health data
management and analysis, it is desirable to obtain regions of comparable population by …

This paper presents a review of the use of intelligent data analysis techniques in
Hydrocarbon Exploration. The term “intelligent” is used in its broadest sense. The process of …

Location uncertainty has been a major barrier in information mining from location data.
Although the development of electronic and telecommunication equipment has led to an …

Scene interpretation guided by a generic model benefits from structural representations of
objects and their spatial relationships. In this paper, we consider nested conceptual graphs …

High resolution remote sensing images allow discriminating between different objects that
compose a scene. However, due to the large quantities of information it is difficult to …

Breast cancer has ranked highest in cancer incidence in Illinois for years. Detection at an
early stage helps cancer patients live longer and maintain a better quality of life. Previous …

Technology has allowed for a substantial increase in success rate of identifying the
presence of energy sources such as oil and natural gas. Data mining, an emerging …

The analysis of remote sensing images aggregates numerous disciplines which were,
before the advent of Earth observation (EO) techniques, distinct fields. The synergies …