发明授权
US08583586B2 Mining temporal patterns in longitudinal event data using discrete event matrices and sparse coding
有权
使用离散事件矩阵和稀疏编码挖掘纵向事件数据中的时间模式
- 专利标题： Mining temporal patterns in longitudinal event data using discrete event matrices and sparse coding
- 专利标题（中）： 使用离散事件矩阵和稀疏编码挖掘纵向事件数据中的时间模式
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申请号： US13011632申请日： 2011-01-21
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公开(公告)号： US08583586B2公开(公告)日： 2013-11-12
- 发明人: Shahram Ebadollahi , Jianying Hu , Martin S. Kohn , Noah Lee , Robert K. Sorrentino , Jimeng Sun , Fei Wang
- 申请人： Shahram Ebadollahi , Jianying Hu , Martin S. Kohn , Noah Lee , Robert K. Sorrentino , Jimeng Sun , Fei Wang
- 申请人地址： US NY Armonk
- 专利权人： International Business Machines Corporation
- 当前专利权人： International Business Machines Corporation
- 当前专利权人地址： US NY Armonk
- 代理机构： Tutunjian & Bitetto, P.C.
- 代理商 Louis J. Percello
- 主分类号： G06N5/02
- IPC分类号： G06N5/02
摘要：
Methods and systems for event pattern mining are shown that include representing longitudinal event data in a measurable geometric space as a temporal event matrix representation (TEMR) using spatial temporal shapes, wherein event data is organized into hierarchical categories of event type and performing temporal event pattern mining with a processor by locating visual event patterns among the spatial temporal shapes of said TEMR using a constraint sparse coding framework.
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