-
公开(公告)号：US20170046597A1
公开(公告)日：2017-02-16
申请号：US15307026
申请日：2014-04-30
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： Ming C. Hao , Wei-Nchih Lee , Alexander Jaeger , Nelson L. Chang , Daniel Keim
IPC: G06K9/62
CPC classification number: G06K9/6224 , G06K9/00 , G06K9/6215 , G06K9/6218 , G06K9/6235 , G06K2009/6236
Abstract: In an example, high-dimensional data is projected to a multi-dimensional space to differentiate clusters of the high-dimensional data. A user selection of at least two of the clusters may be received and a plurality of dissimilar dimensions may be extracted from the at least two clusters. In addition, a user selected of a dissimilar dimension from the plurality of extracted dissimilar dimensions may be received. In response to receipt of the user selection of the dissimilar dimension from the plurality of dissimilar dimensions, a plurality of correlated dimensions to the dissimilar dimension may be determined. In addition, the plurality of dissimilar dimensions and the plurality of correlated dimensions may be displayed.
Abstract translation: 在一个示例中，高维数据被投影到多维空间以区分高维数据的簇。 可以接收至少两个群集的用户选择，并且可以从至少两个群集中提取多个不同维度。 此外，可以接收从多个提取的不同维度中选择不同维度的用户。 响应于从多个不同维度接收到不同维度的用户选择，可以确定与不相似维度的多个相关维度。 此外，可以显示多个不同维度和多个相关维度。
-
公开(公告)号：US20160104304A1
公开(公告)日：2016-04-14
申请号：US14973334
申请日：2015-12-17
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Ming C. Hao , Michael Hund , Wei-Nchih Lee , Halldor Janetzko , Nelson L. Chang , Daniel Keim , Sebastian Mittelstaedt
CPC classification number: G06T11/20 , G06F19/00 , G06F19/328 , G06K9/4652 , G06K9/52 , G06K2009/4666 , G06T3/0093 , G06T3/40 , G06T5/002 , G06T7/60 , G06T11/206 , G06T11/60 , G09G5/02 , G09G5/377 , G09G2340/0407 , G09G2340/14 , G16H50/80
Abstract: According to an example, in a method for displaying visual analytics of entity data, geographic locations of entities may be plotted as first pixel cells on a first region and as second pixel cells on a second region of a geographic map. A determination may be made that the first pixel cells have a higher degree of overlap with each other in the first region compared to the second pixel cells in the second region. The geographic map may be distorted to enlarge the first region and the first pixel cells may be arranged in the first region in a manner that prevents the first pixel cells from overlapping each other. A color value for each of the pixel cells may be determined from a multi-paired color map that represents two variables corresponding to the entities by color and the pixel cells may be caused to be displayed on the distorted geographic map according to the determined respective color values.
-
公开(公告)号：US09946959B2
公开(公告)日：2018-04-17
申请号：US15307026
申请日：2014-04-30
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Ming C. Hao , Wei-Nchih Lee , Alexander Jaeger , Nelson L. Chang , Daniel Keim
CPC classification number: G06K9/6224 , G06K9/00 , G06K9/6215 , G06K9/6218 , G06K9/6235 , G06K2009/6236
Abstract: In an example, high-dimensional data is projected to a multi-dimensional space to differentiate clusters of the high-dimensional data. A user selection of at least two of the clusters may be received and a plurality of dissimilar dimensions may be extracted from the at least two clusters. In addition, a user selected of a dissimilar dimension from the plurality of extracted dissimilar dimensions may be received. In response to receipt of the user selection of the dissimilar dimension from the plurality of dissimilar dimensions, a plurality of correlated dimensions to the dissimilar dimension may be determined. In addition, the plurality of dissimilar dimensions and the plurality of correlated dimensions may be displayed.
-
公开(公告)号：US20160371350A1
公开(公告)日：2016-12-22
申请号：US15114198
申请日：2014-04-30
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： Ming C. Hao , Michael Hund , Christian Rohrdantz , Riddhiman Ghosh , Nelson L. Chang , Meichun Hsu , Daniel Keim
CPC classification number: G06F16/26 , G06F16/2272 , G06F16/24578 , G06F16/35 , G06T11/60
Abstract: Selected topics are identified from records based on scoring candidate terms in the records according to a user-specified metric and at least one further metric selected from among frequencies of occurrence of records pertaining to the respective candidate terms, and negativity of sentiment expressed with respect to the candidate terms in the records. A visualization is generated that includes bubbles representing the respective topics, the bubbles including pixels representing corresponding records, where a given one of the bubbles has a shape dependent upon a number of records represented by the given bubble and a time interval represented by the given bubble. Visual indicators are assigned to the pixels in the given bubble according to values of an attribute expressed in the corresponding records for the topic represented by the given bubble.
Abstract translation: 所选择的主题是根据记录中根据用户指定的度量记录中的评分候选项的记录和从相应候选项的有关记录的出现频率中选出的至少一个另外的度量来识别的，以及相对于 记录中的候选词。 生成可视化，其包括表示相应主题的气泡，气泡包括表示对应记录的像素，其中给定的一个气泡具有取决于由给定气泡表示的记录数量的形状和由给定气泡表示的时间间隔 。 根据给定气泡表示的主题的相应记录中表示的属性的值，将可视指示符分配给给定气泡中的像素。
-
-
-
Search Results
4
records
(took 0.013 seconds)
