Richard J. Roiger

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The goal is to supply the participant with the tools to teach a course or unit about data mining and knowledge discovery. A basic understanding of the benefits and limitations of data mining as a problem-solving strategy will be offered. Several data mining techniques will be discussed. Prior knowledge about data mining and the knowledge discovery process(More)
We use ESX, a product of Information Acumen Corporation, to perform unsupervised learning on a data set containing 797 gamma-ray bursts taken from the BATSE 3B catalog [5]. Assuming all attributes to be distributed logNormally, Mukherjee et al. [6] analyzed these same data using a statistical cluster analysis. Utilizing the logarithmic values for T90(More)
We describe the design of a suite of software tools to allow users to query Gamma Ray Burst (GRB) data and perform data mining expeditions. We call this suite of tools a shed (SHell for Expeditions using Datamining). Our schedule is to have a completed prototype (funded via the NASA AISRP) by February, 2002. Meanwhile, interested users will find a partially(More)
Minnesota Multiphasic Personality Inventory-2 protocols were examined in an attempt to develop a model able to identify chemically-dependent patients likely not to complete treatment. MMPI-2 profiles of 173 patients (142 male) were analyzed using profile code types and a multiple analysis of variance. A chi-square showed that patients classified as neurotic(More)
Classification Jon Hakkila and Timothy W. Giblin Department of Physics and Astronomy, College of Charleston, Charleston, SC, 29424 Richard J. Roiger and David J. Haglin Department of Computer and Information Sciences, Minnesota State University, Mankato, MN 56001 William S. Paciesas Department of Physics, University of Alabama in Huntsville, Huntsville, AL(More)
Gamma-Ray Burst (GRB) prompt emission contains information that can be used to infer structure of the relativistic outflow. Spectral lags, the Internal Luminosity Function (ILF), and Color-Color Diagrams are attributes that provide diagnositcs with which jet structure can be studied. These attributes help delineate properties of internal shocks originating(More)
The fluence duration bias causes fluences and durations of faint gamma-ray bursts to be systematically underestimated relative to their peak fluxes. Using Monte Carlo analysis, we demonstrate how this effect explains characteristics of structure of the fluence vs. 1024 ms peak flux diagram. Evidence of this bias exists in the BATSE fluence duration(More)