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- W2118046314 abstract "Analyzing data to find trends, correlations, and stable patterns is an important problem for many industrial applications. We propose a new technique based on parallel coordinates visualization. Previous work on parallel coordinates method has shown that they are effective only when variables that are correlated and/or show similar patterns are displayed adjacently. Although current parallel coordinates tools allow the user to manually rearrange the order of variables, this process is very time-consuming when the number of variables is large. Automated assistance is needed. We propose an edit-distance based technique to rearrange variables so that interesting patterns can be easily detected. Our system, V-Miner, includes both automated methods for visualizing common patterns and a query tool that enables the user to describe specific target patterns to be mined/displayed by the system. Following an overview of the system, a case study is presented to explain how Motorola engineers have used V-Miner to identify significant patterns in their product test and design data." @default.
- W2118046314 created "2016-06-24" @default.
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- W2118046314 date "2004-04-23" @default.
- W2118046314 modified "2023-09-24" @default.
- W2118046314 title "Detecting patterns of change using enhanced parallel coordinates visualization" @default.
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- W2118046314 doi "https://doi.org/10.1109/icdm.2003.1251023" @default.
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