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)
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)
Gamma-ray bursts provide what is probably one of the messiest of all astrophysical data sets. Burst class properties are indistinct, as overlapping characteristics of individual bursts are convolved with effects of instrumental and sampling biases. Despite these complexities, data mining techniques have allowed new insights to be made about gamma-ray burst(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)
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 logNor-mally, Mukherjee et al. [6] analyzed these same data using a statistical cluster analysis. Utilizing the logarithmic values for T90(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)
The three gamma-ray burst (GRB) classes identified by statistical clustering analysis [7] are examined using the pattern recognition algorithm C4.5 [8]. Although the statistical existence of Class 3 (intermediate duration, intermediate fluence, soft) is supported, the properties of this class do not need to arise from a distinct source population. Class 3(More)