PROCEEDINGS IPMU '08
Granularity in Temporal Data Mining
Shoji Hirano and Shusaku Tsumoto.
This paper focuses on clustering of trajectories
of temporal sequences of two
laboratory examinations. First, we map
a set of time series containing different
types of laboratory tests into directed
trajectories representing temporal
change in patients’ status. Then
the trajectories for individual patients
are compared in multiscale and grouped
into similar cases by using clustering
methods.
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