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1. 发明申请

US20150243247A1 DISPLAYING VISUAL ANALYTICS OF ENTITY DATA 有权
标题翻译：显示实体数据的视觉分析
公开(公告)号：US20150243247A1
公开(公告)日：2015-08-27
申请号：US14188099
申请日：2014-02-24
申请人： Hewlett-Packard Development Company, L.P.
发明人： Ming C. Hao , Michael Hund , Wei-Nchih Lee , Halldor Janetzko , Nelson L. Chang , Daniel Keim , Sebastian Mittelstaedt
IPC分类号： G09G5/02 , G06T11/20 , G06T3/40 , G09G5/377 , G06T5/00
CPC分类号： 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
摘要： 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.
摘要翻译：根据示例，在用于显示实体数据的视觉分析的方法中，实体的地理位置可以被绘制为第一区域上的第一像素单元，以及作为地理地图的第二区域上的第二像素单元。可以确定与第二区域中的第二像素单元相比，第一像素单元在第一区域中具有较高的重叠程度。地理地图可能被失真以扩大第一区域，并且第一像素单元可以以防止第一像素单元彼此重叠的方式布置在第一区域中。每个像素单元的颜色值可以从表示根据颜色对应于实体的两个变量的多对彩色图确定，并且可以根据确定的相应颜色使像素单元显示在失真的地理图上价值观。

2. 发明申请

US20150116329A1 MULTI-ATTRIBUTE VISUALIZATION INCLUDING MULTIPLE COORDINATED VIEWS OF NON-OVERLAPPED CELLS 审中-公开
标题翻译：多重可视化，包括非重叠细胞的多个协调的视图
公开(公告)号：US20150116329A1
公开(公告)日：2015-04-30
申请号：US14067328
申请日：2013-10-30
申请人： Hewlett-Packard Development Company, L.P.
发明人： Ming C. Hao , Wei-Nchih Lee , Michael Hund , Halldor Janetzko , Nelson L. Chang , Daniel Keim
IPC分类号： G06T11/20
CPC分类号： G06T11/206 , G16H50/70 , G16H50/80
摘要： A multi-attribute visualization is generated that includes non-overlapped cells that represent respective items. The cells are placed in the visualization according to geographic locations associated with the items, and the cells being assigned visual indicators to represent a first attribute of the items. The cells are arranged in clusters in the visualization, where a size of a particular one of the clusters indicates a second attribute representing a number of cases associated with a corresponding one of the items. Multiple coordinated views of the cells are presented in the visualization, the multiple views corresponding to respective different time intervals.
摘要翻译：生成多属性可视化，其包括表示相应项目的非重叠单元格。根据与项目相关联的地理位置，将单元格放置在可视化中，并且为单元格分配视觉指示符以表示项目的第一属性。小区在可视化中被排列成群集，其中特定群集的大小指示表示与相应项之一相关联的多个情况的第二属性。在可视化中呈现单元的多个协调视图，对应于各个不同时间间隔的多个视图。

3. 发明授权

US10699449B2 Pixel-based temporal plot of events according to multidimensional scaling values based on event similarities and weighted dimensions 有权
公开(公告)号：US10699449B2
公开(公告)日：2020-06-30
申请号：US15544675
申请日：2015-03-17
申请人： Hewlett-Packard Development Company, L.P.
发明人： Ming C Hao , Dominik Jackle , Nelson L Chang , Wei-Nchih Lee , Daniel Keim
IPC分类号： G06T11/20 , G06F3/0484 , G06Q10/10 , G06K9/68 , G06K9/00 , G06K9/62 , G06T11/00
摘要： Similarities between events that include a plurality of dimensions are computed, the similarities computed based on binary comparisons between the events and based on user-specified weights for the dimensions. Multidimensional scaling (MDS) values are calculated based on the computed similarities between the events. A graphical visualization is generated of a temporal plot of the events, the temporal plot comprising a first axis corresponding to time, and a second axis corresponding to the MDS values, and the temporal plot representing overlapping time slices each containing pixels representing a respective subset of the events.

4. 发明授权

US10509800B2 Visually interactive identification of a cohort of data objects similar to a query based on domain knowledge 有权
公开(公告)号：US10509800B2
公开(公告)日：2019-12-17
申请号：US15519734
申请日：2015-01-23
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
发明人： Ming C Hao , Wei-Nchih Lee , Nelson L Chang , Michael Hund , Daniel Keim
IPC分类号： G06F16/26 , G06F16/2458 , G06F16/248 , G06F3/0484
摘要： Visually interactive identification of a cohort of similar data objects is disclosed. One example is a system including a data processor to access a plurality of data objects, each data object comprising a plurality of numerical components, where each component represents a data feature of a plurality of data features, and to identify, for each data feature, a feature distribution of the numerical components. A selector selects a sub-plurality of the data features of a query object, where a given data feature is selected if the component representing the given data feature is a peak for the feature distribution. An evaluator determines a similarity measure based on the sub-plurality of the data features. An interaction processor iteratively processes selection of a sub-plurality of the data features based on domain knowledge, and identifies, based on the similarity measures, a cohort of data objects similar to the query object.

5. 发明申请

US20180011850A1 TEMPORAL-BASED VISUALIZED IDENTIFICATION OF COHORTS OF DATA POINTS PRODUCED FROM WEIGHTED DISTANCES AND DENSITY-BASED GROUPING 审中-公开
公开(公告)号：US20180011850A1
公开(公告)日：2018-01-11
申请号：US15544693
申请日：2015-03-17
申请人： Hewlett-Packard Development Company, L.P.
发明人： Ming C. Hao , Dominik Jackle , Wei-Nchih Lee , Nelson L. Chang , Daniel Keim , Justin Aaron Scaggs
IPC分类号： G06F17/30 , G06K9/62 , G06K9/68
CPC分类号： G06F16/51 , G06F16/5838 , G06K9/00536 , G06K9/6218 , G06K9/622 , G06K9/6878 , G06Q10/10
摘要： A user-selected group of data points is received. Weighted distances between further data points with the user-selected group of data points are computed, the weighted distances computed based on respective weights assigned to dimensions of data points. Density-based grouping of the further data points is performed based on the computed weighted distances, the density-based grouping producing cohorts of data points. A graphical visualization is generated including pixels representing the user-selected group of data points and the cohorts of data points. The graphical visualization provides a temporal-based visualized identification of the cohorts with the user selected group of data points.

6. 发明申请

US20180004803A1 ITERATIVE VISUALIZATION OF A COHORT FOR WEIGHTED HIGH-DIMENSIONAL CATEGORICAL DATA 审中-公开
公开(公告)号：US20180004803A1
公开(公告)日：2018-01-04
申请号：US15545895
申请日：2015-02-20
申请人： Hewlett-Packard Development Company, L.P.
发明人： Ming C. Hao , Michael Hund , Wei-Nchih Lee , Nelson L. Chang , Daniel Keim , Kevin Smathers , Jishang Wei
IPC分类号： G06F17/30 , G06F19/00 , G06Q30/02
CPC分类号： G06F16/2428 , G06F16/2425 , G06F16/24578 , G06F16/248 , G06F19/326 , G06Q10/04 , G06Q10/0633 , G06Q30/0201
摘要： Visualization of a cohort for high-dimensional categorical data is disclosed. One example is a system including a display module to identify real-time selection of a query data element in an interactive visual representation of high-dimensional categorical data elements comprising a plurality of categorical components. A matrix generator generates a binary distance matrix with columns representing categorical components, and entries in a row indicative of a degree of similarity of respective categorical components of the selected query data element to a data element represented by the row, and determines a category weighting matrix by associating a weight with entries in each column of the binary distance matrix. An evaluator evaluates a weighted similarity score for a data element represented by a row of the category weighting matrix based on entries of the row. A selector iteratively and interactively selects, based on weighted similarity scores, a cohort of categorical data elements.

7. 发明授权

US09256970B2 Visual analytics of multivariate session data using concentric rings with overlapping periods 有权
标题翻译：使用具有重叠周期的同心环的多变量会话数据的视觉分析
公开(公告)号：US09256970B2
公开(公告)日：2016-02-09
申请号：US13841514
申请日：2013-03-15
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
发明人： Ming C. Hao , Michael Hund , Umeshwar Dayal , Soma Sundaram Santhiveeran , Halldor Janetzko , Sebastian Mittelstaedt , Daniel Keim , Meichun Hsu
IPC分类号： G06T11/20 , G06Q30/02
CPC分类号： G06T11/206 , G06Q30/0201
摘要： Visual analytics for multivariate session data using concentric rings with overlapping periods includes displaying an interactive graph in a display. The interactive graph includes at least a portion of multiple concentric rings where each one of at least some of the multiple concentric rings represents periodic time units. At least some of the multiple concentric rings are divided into cells where the cells represent smaller time periods than the time units. A color of each of the cells represents a value of a metric. Also, an overlapping period ring displayed with the multiple concentric rings where the overlapping period ring comprises segments that represent overlapping metrics from the cells of the concentric rings that correspond with the segments.
摘要翻译：使用具有重叠周期的同心圆的多变量会话数据的视觉分析包括在显示器中显示交互图。交互图包括多个同心环的至少一部分，其中多个同心圆中的至少一个中的每一个代表周期性时间单位。多个同心环中的至少一些被分成细胞，其中细胞代表比时间单位更小的时间段。每个单元格的颜色表示度量的值。此外，与多个同心环一起显示的重叠周期环，其中重叠周期环包括表示来自与段对应的同心环的单元格的重叠度量的段。

8. 发明申请

US20150035833A1 Visual Analytics of Temporal-spatial Relationships Using a Hierarchical Pixel Calendar Tree 审中-公开
标题翻译：使用分层像素日历树的时空关系的视觉分析
公开(公告)号：US20150035833A1
公开(公告)日：2015-02-05
申请号：US13955961
申请日：2013-07-31
申请人： Hewlett-Packard Development Company, L.P.
发明人： Ming C. Hao , Manish Marwah , Halldor Janetzko , Meichun Hsu , Umeshwar Dayal , Daniel Keim
IPC分类号： G06T11/20
CPC分类号： G06T11/206
摘要： Example embodiments relate to providing visual analytics of temporal-spatial relationships. In example embodiments, power meters may be located at regions within a building for collecting power consumption data at regular intervals. The power consumption data can be recursively processed to generate a pixel calendar tree by using a power meter hierarchy to subdivide the pixel calendar tree into tree portions according to a proportion of the power consumption data attributed to each of power meter nodes, where the tree portions are arranged in the pixel calendar tree according to an importance of the proportion; generating pixel cells in the pixel calendar tree that each represent a day in the power consumption data; and generating cell borders that each surround one of the pixel cells. At this stage, a pixel calendar display of a physical infrastructure of the building that includes the pixel cells and the cell borders can be generated.
摘要翻译：示例性实施例涉及提供时间 - 空间关系的视觉分析。在示例实施例中，功率计可以位于建筑物内的区域，以规则的间隔收集功率消耗数据。功率消耗数据可以被递归地处理以通过使用功率计层次结构根据属于每个功率计节点的功率消耗数据的比例将像素日历树细分为树形部分来生成像素日历树，其中树形部分根据比例的重要性排列在像素日历树中; 生成像素日历树中的每个表示功耗数据中的一天的像素单元; 以及生成每个围绕像素单元之一的单元格边框。在此阶段，可以生成包括像素单元和单元边界的建筑物的物理基础设施的像素日历显示。

9. 发明申请

US20140267290A1 Visual Analytics of Multivariate Session Data Using Concentric Rings with Overlapping Periods 有权
标题翻译：使用具有重叠周期的同心环的多变量会话数据的视觉分析
公开(公告)号：US20140267290A1
公开(公告)日：2014-09-18
申请号：US13841514
申请日：2013-03-15
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
发明人： Ming C. Hao , Michael Hund , Umeshwar Dayal , Soma Sundaram Santhiveeran , Halldor Janetzko , Sebastian Mittelstaedt , Daniel Keim , Meichun Hsu
IPC分类号： G06T11/20
CPC分类号： G06T11/206 , G06Q30/0201
摘要： Visual analytics for multivariate session data using concentric rings with overlapping periods includes displaying an interactive graph in a display. The interactive graph includes at least a portion of multiple concentric rings where each one of at least some of the multiple concentric rings represents periodic time units. At least some of the multiple concentric rings are divided into cells where the cells represent smaller time periods than the time units. A color of each of the cells represents a value of a metric. Also, an overlapping period ring displayed with the multiple concentric rings where the overlapping period ring comprises segments that represent overlapping metrics from the cells of the concentric rings that correspond with the segments.
摘要翻译：使用具有重叠周期的同心圆的多变量会话数据的视觉分析包括在显示器中显示交互图。交互图包括多个同心环的至少一部分，其中多个同心圆中的至少一个中的每一个代表周期性时间单位。多个同心环中的至少一些被分成细胞，其中细胞代表比时间单位更小的时间段。每个单元格的颜色表示度量的值。此外，与多个同心环一起显示的重叠周期环，其中重叠周期环包括表示来自与段对应的同心环的单元格的重叠度量的段。

10. 发明授权

US09779524B2 Visualization that indicates event significance represented by a discriminative metric computed using a contingency calculation 有权
公开(公告)号：US09779524B2
公开(公告)日：2017-10-03
申请号：US13745985
申请日：2013-01-21
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
发明人： Ming C. Hao , Sebastian Mittelstaedt , Umeshwar Dayal , Meichun Hsu , Daniel Keim
IPC分类号： G06T11/20
CPC分类号： G06T11/206
摘要： Using a contingency calculation based on a number of events sharing a collection of values of plural attributes, a discriminative metric is computed representing a statistical significance of the events that share the collection of values of the plural attributes. A visualization is generated that includes cells representing respective events, the visualization including a region containing a subset of the cells corresponding to the collection of values of the plural attributes, and the visualization including a significance visual indicator associated with the region to indicate the statistical significance of the events sharing the collection of values of the plural attributes.

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