发明申请
US20070239753A1 Systems And Methods For Mining Transactional And Time Series Data
有权
挖掘事务和时间序列数据的系统和方法
- 专利标题: Systems And Methods For Mining Transactional And Time Series Data
- 专利标题(中): 挖掘事务和时间序列数据的系统和方法
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申请号: US11696951申请日: 2007-04-05
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公开(公告)号: US20070239753A1公开(公告)日: 2007-10-11
- 发明人: Michael Leonard
- 申请人: Michael Leonard
- 主分类号: G06F7/00
- IPC分类号: G06F7/00
摘要:
In accordance with the teachings described herein, systems and methods are provided for analyzing transactional data. A similarity analysis program may be used that receives time-series data relating to transactions of an organization and performs a similarity analysis of the time-series data to generate a similarity matrix. A data reduction program may be used that receives the time-series data and performs one or more dimension reduction operations on the time-series data to generate reduced time-series data. A distance analysis program may be used that performs a distance analysis using the similarity matrix and the reduced time-series data to generate a distance matrix. A data analysis program may be used that performs a data analysis operation, such as a data mining operation, using the distance matrix to generate a data mining analysis of the transactional data.