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This paper proposes a system which acquires feature patterns and makes classifiers for time series data without using background knowledge given by a user. Time series data are widely appeared in finance, medical research, industrial sensors, etc. The system acquires the feature patterns that characterize similar data in database. We focus on two aspects of the feature pattern: global and local frequency...
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