This paper presents MOWCATL, an efficient method for mining frequent association rules
from multiple sequential data sets. Our goal is to find patterns in one or more sequences that …

Drought has an impact on many aspects of society. To help decision makers reduce the
impacts of drought, it is important to improve our understanding of the characteristics and …

We present MOWCATL, an efficient method for mining frequent sequential association rules
from multiple sequential data sets with a time lag between the occurrence of an antecedent …

Drought affects virtually all regions of the world and results in significant economic, social,
and environmental impacts. The Federal Emergency Management Agency estimates annual …

Discovering association rules from time-series data is an important data mining problem. The
number of potential rules grows quickly as the number of items in the antecedent grows. It …

Drought is a complex natural hazard that is best characterized by multiple climatological and
hydrological parameters. Improving our understanding of the relationships between these …

We are developing an advanced Geospatial Decision Support System (GDSS) to improve
the quality and accessibility of drought related data for drought risk management. This is part …

The emergence of remote sensing, scientific simulation, telescope scanning, and other survey
technologies has dramatically enhanced our capabilities to collect spatio-temporal data. …

Providing computer science (CS) offerings in the K-12 education system is often limited by
the lack of experienced teachers, especially in small or rural underserved school districts. By …

The agricultural landscapes of Nebraska reflect a complex pattern of soil climate regimes and
inherent variability that influence the cropping systems, behavior of farmers, and the health …