A variety of techniques from statistics, signal processing, patternrecognition, machinelearning, and neural networks have been proposed to understand data by discovering useful categories. However, research in data ...
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The goal of pattern classification can be approached from two points of view: informative - where the classifier learns the class densities, or discriminative - where the focus is on learning the class boundaries with...
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This paper presents an autonomous algorithm for discovering exception rules from data sets. An exception rule, which is defined as a deviational pattern to a well-known fact, exhibits unexpectedness and is sometimes e...
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The proceedings contain 65 papers. The topics discussed include: an interactive visualization environment for data exploration;density-connected sets and their application for trend detection in spatial databases;visu...
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(纸本)1577350278
The proceedings contain 65 papers. The topics discussed include: an interactive visualization environment for data exploration;density-connected sets and their application for trend detection in spatial databases;visualization techniques to explore datamining results for document collections;a probabilistic approach to fast pattern matching in time series databases;using general impressions to analyze discovered classification rules;development of multi-criteria metrics for evaluation of datamining algorithms;analysis and visualization of classifier performance: comparison under imprecise class and cost distributions;discriminative vs informative learning;anytime exploratory data analysis for massive data sets;detecting atmospheric regimes using cross-validated clustering;and a visual interactive framework for attribute discretization.
We apply DOGMA, a GA-based theory revision system, to MDL-based rule enhancement in supervised concept learning. The system takes as input classification data and a rule-based classification theory, produced by some r...
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We describe how specialized database technology and data analysis methods were applied by the Swedish defense to help deal with the violation of Swedish marine territory by foreign submarine intruders during the Eight...
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The solar chromosphere consists of three classes - plage, network, background - which contribute differently to ultraviolet radiation reaching the earth. Solar physicists are interested in relating plage area and inte...
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This paper presents first results of an interdisciplinary project in scientific datamining. We analyze data about the carcinogenicity of chemicals derived from the carcinogenesis bioassay program performed by the US ...
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TempleMVV a system for visually mining very large high dimensional datasets is presented. The system first developed at Temple University's Department of Physics is based on U.S. Patent No. 5, 228, 119 and utilize...
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Low-frequency variability in geopotential height records of the Northern Hemisphere is a topic of significance in atmospheric science, having profound implications for climate modeling and prediction. A debate has exi...
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