This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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615
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Type:
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Topic Contributed
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Date/Time:
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Thursday, August 5, 2010 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistics and Marketing
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Abstract - #308991 |
Title:
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Trajectory Mining for Laboratory Examination Data Sets
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Author(s):
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Shoji Hirano* and Shusaku Tsumoto+
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Companies:
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Shimane University and Shimane University
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Address:
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89-1 Enya-cho, Izumo, Shimane, International, 693-8501, Japan
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Keywords:
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trajectory mining ;
longitudinal data ;
multi-source datasets
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Abstract:
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This paper shows application of trajectory mining techniques to laboratory examination data, where dynamics of several laboratory examinations are represented as a trajectory in a multi-dimensional plane. Each trajectory is segmented and compared with other trajectories by multiscale matching, and clustered by using similarities obtained by matching technique. Comparison of trajectories grater than three-dimension is still a challenging problem because the zero-crossings of curvature (inflection points), that plays an important role in recognizing hierarchical structure of a trajectory, are difficult to be determined because curvature on a space curve is essentially sign-less. We propose to use the maxima of curvature instead of its zero-crossings for segmenting a trajectory, and demonstrate that our method could successfully capture the structural similarity of 3-D trajectories.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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