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- W2159454637 abstract "This paper discusses a metamorphosis method for temporal data mining. We propose definition of temporal type and time granularity to divide into segments for time, then build an event temporal space which may describe something change of data over time. We give the conception of metamorphosis data in event temporal types space so that it is easier to discover valuable knowledge, but it is not clear to do it if original data are not metamorphosis. By metamorphosis data, we study a problem of knowledge discovery of temporal similarity pattern based on the temporal type is given. A method based on self-organizing map (SOM) to find similarity pattern is proposed." @default.
- W2159454637 created "2016-06-24" @default.
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- W2159454637 date "2009-01-01" @default.
- W2159454637 modified "2023-09-27" @default.
- W2159454637 title "Discovering Temporal Similarity Pattern Based on Metamorphosis Data" @default.
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- W2159454637 doi "https://doi.org/10.1109/cis.2009.71" @default.
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