John A. Rushing

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A 5-year National Science Foundation Large Information Technology Research (ITR) grant – funded on 1 October 2003 and known as Linked Environments for Atmospheric Discovery (LEAD) –is creating the cyberinfrastructure needed to facilitate the identification, access, preparation, assimilation, prediction, management, analysis, mining, and visualization of a(More)
Within a decade after John von Neumann and colleagues conducted the first experimental weather forecast on the ENIAC computer in the late 1940s, numerical models of the atmosphere become the foundation of modern-day weather forecasting and one of the driving application areas in computer science. This article describes research that is enabling a major(More)
Algorithm Development and Mining (ADaM) is a data mining toolkit designed for use with scientific data. It provides classification, clustering and association rule mining methods that are common to many data mining systems. In addition, it provides feature reduction capabilities, image processing, data cleaning and preprocessing capabilities that are of(More)
— A parallel real time data fusion and target tracking algorithm for very large binary sensor networks is presented. A binary sensor can give an on or off signal to indicate the presence or absence of targets within its range, but it cannot tell how many targets are present, where the targets are, how fast they are moving, or which direction they are(More)
Ensemble classifier methods have been developed to learn from streaming data, and adapt to concept drift. One strategy employed to adapt to concept drift is to rank the classifiers in the ensemble based on their performance on the most recent samples. However, this strategy is problematic when the samples are coming from different portions of the sample(More)
A collaborative team of meteorologists and data mining experts conducted a case study to detect and classify mesocyclone signatures in WSR-88D radar data using mining techniques. Radar data for May 6, 1994 and May 11, 1992 from Norman and Tulsa, Oklahoma was used in this case study. Two Mesocyclone Detection Algorithms (MDA) were used in this study. One(More)
A new type of texture feature based on association rules is described. Association rules have been used in applications such as market basket analysis to capture relationships present among items in large data sets. It is shown that association rules can be adapted to capture frequently occurring local structures in images. The frequency of occurrence of(More)
The paper presents a set of requirements for a datamining system for mining remotely sensed satellitedata based on a number of taxonomies that characterizemining of such data. The first of these taxonomies isbased on knowledge of the mining objectives and miningalgorithms. The second is based on variousrelationships that are found in data, including(More)
This paper describes a data mining approach for extracting enriched data from scientific data archives such as NASA’s Earth Observing System Data and Information System (EOSDIS) that are stored on slow access tertiary storage. This enriched data has significantly smaller volume than the original data, yet preserves sufficient properties of this data such(More)