发明申请
- 专利标题: DE-FOCUSING OVER BIG DATA FOR EXTRACTION OF UNKNOWN VALUE
- 专利标题(中): 用于提取未知值的大数据重新聚焦
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申请号: US13284853申请日: 2011-10-28
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公开(公告)号: US20130110872A1公开(公告)日: 2013-05-02
- 发明人: Roger Barga , Alexander Sasha Stojanovic , Henricus Johannes Maria Meijer , Carl Carter-Schwendler , Michael Isard , Savas Parastatidis
- 申请人: Roger Barga , Alexander Sasha Stojanovic , Henricus Johannes Maria Meijer , Carl Carter-Schwendler , Michael Isard , Savas Parastatidis
- 申请人地址: US WA Redmond
- 专利权人: MICROSOFT CORPORATION
- 当前专利权人: MICROSOFT CORPORATION
- 当前专利权人地址: US WA Redmond
- 主分类号: G06F17/30
- IPC分类号: G06F17/30
摘要:
Techniques for defocusing queries over big datasets and dynamic datasets are provided to broaden search results and incorporate all potentially relevant data and avoid overly narrowing queries. An analytic component can receive queries directed at one region of a dataset and analyze the queries to generate inferences about the queries. The queries can then be defocused by a defocusing component and incorporate a larger dataset than originally searched to broaden the queries. The larger dataset can incorporate all, or a part of the original dataset and can also be disparate from the original dataset. Clusters of queries can also be merged and unified to deal with ‘local minima’ issues and broaden the understanding of the dataset. In other embodiments, dynamic data can be monitored and changes tracked, to ensure that all portions of the dataset are being searched by the queries.
公开/授权文献
- US08452792B2 De-focusing over big data for extraction of unknown value 公开/授权日:2013-05-28