发明名称 Presenting data records based on binning and randomization
摘要 In one embodiment, data records associated with attributes are received. A check is made to determine whether the data records are greater than a maximum data record limit of a graph. Further, when the maximum number of data records in the bin is less than or equal to the maximum data record limit of the graph, the data records are retrieved and presented in the graph. When the data records are greater than the maximum data record limit of the graph, the data records are grouped into bins based on initial bin sizes corresponding to the plurality of attributes. Furthermore, weighted densities of the bins are determined using a maximum number of data records associated with a bin and a maximum data record limit of the bin. Further, the graph is rendered to present the weighted densities of the bins using a randomization technique to analyze the data records.
申请公布号 US9218677(B2) 申请公布日期 2015.12.22
申请号 US201213670436 申请日期 2012.11.06
申请人 Business Objects Software Limited 发明人 Ankisettipalli Anil Babu;Bhattacharjee Arindam;Chaudhary Shipra;Kumar Kn Ashok;MacGregor John
分类号 G06T11/20 主分类号 G06T11/20
代理机构 代理人
主权项 1. An article of manufacture including a non-transitory computer readable storage medium to store instructions, which when executed by a computer, cause the computer to: receive a plurality of data records associated with a plurality of attributes; determine whether a count of the plurality of data records is greater than a maximum data record limit of a graph; when the count of the plurality of data records is greater than the maximum data record limit of the graph, group the plurality of data records into a plurality of bins based on initial bin sizes, wherein the initial bin sizes correspond to values of the plurality of attributes; determine weighted densities of the plurality of bins, wherein a weighted density of a bin of the plurality of bins is determined based on a maximum number of data records associated with the bin, a number of data records in the bin, and a maximum data record limit of the bin; and render the weighted densities of the plurality of bins on the graph using a randomization technique.
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