Emergency management is more than just events occurring within an emergency situation. It encompasses a variety of persistent activities such as planning, training, assessment, and...
The association of timestamps with various data items such as tuples or attribute values is fundamental to the management of time-varying information. Using intervals in timestamp...
This paper presents a cluster-based text categorization system which uses class distributional clustering of words. We propose a new clustering model which considers the global in...
The goal of input-output modeling is to apply a test input to a system, analyze the results, and learn something useful from the causeeffect pair. Any automated modeling tool that...
We develop a method for predicting query performance by computing the relative entropy between a query language model and the corresponding collection language model. The resultin...