发明授权
- 专利标题: Method and system for detecting correlation in data sets
- 专利标题(中): 检测数据集相关性的方法和系统
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申请号: US12553988申请日: 2009-09-04
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公开(公告)号: US08229866B2公开(公告)日: 2012-07-24
- 发明人: Alex Alaniz
- 申请人: Alex Alaniz
- 主分类号: G06F15/18
- IPC分类号: G06F15/18
摘要:
A method and system for detecting correlations in a data set is provided. The method includes determining one or more parameters associated with one or more data sets. The one or more parameters are determined at runtime for generating one or more test data sets from the one or more data sets. A test data of the one or more test data sets comprises one or more objects and one or more indices. The one or more objects are associated with the one or more indices. The method further includes computing one or more correlation coefficients associated with the one or more test data sets. The one or more correlation coefficients are computed for detecting correlation corresponding to the one or more test data sets.
公开/授权文献
- US20110060703A1 METHOD AND SYSTEM FOR DETECTING CORRELATION IN DATA SETS 公开/授权日:2011-03-10
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