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1. 发明授权

US09679401B2 Generalized scatter plots 有权
公开(公告)号：US09679401B2
公开(公告)日：2017-06-13
申请号：US12798257
申请日：2010-03-30
申请人： Ming C. Hao , Umeshwar Dayal , Daniel Keim , Halldor Janetzko , Walter Hill
发明人： Ming C. Hao , Umeshwar Dayal , Daniel Keim , Halldor Janetzko , Walter Hill
IPC分类号： G06T11/20
CPC分类号： G06T11/206
摘要： Color cell-based data placement systems, methods, and computer-readable storage media that visualize large amounts of multidimensional data on an output by rearranging data objects to variably grant more output space to areas with high data density and less output space to areas with low data density, and to variably rearrange overlapping data objects based on a number of data objects already placed at a preferred cell position for the data object.

2. 发明授权

US09355357B2 Computing predicted data according to weighted peak preservation and time distance biasing 有权
标题翻译：根据加权峰值保留和时间距离偏差计算预测数据
公开(公告)号：US09355357B2
公开(公告)日：2016-05-31
申请号：US13278572
申请日：2011-10-21
申请人： Ming C. Hao , Umeshwar Dayal , Daniel Keim , Walter Hill , Sabastian Mittelstädt , Halldór Janetzko
发明人： Ming C. Hao , Umeshwar Dayal , Daniel Keim , Walter Hill , Sabastian Mittelstädt , Halldór Janetzko
IPC分类号： G06F17/00 , G06F17/20 , G06N5/04 , G09B7/04 , G06F11/30 , G06Q10/04
CPC分类号： G06N5/04 , G06F11/3062 , G06F11/3072 , G06Q10/04 , G09B7/04
摘要： A value corresponding to an adjustable control element is received. Predicted data is computed from seasonal data, where the computing is according to applying preservation of peaks in the seasonal data and applying time distance biasing in which more recent data points in the seasonal data are weighted higher than less recent data points. Relative weighting of the peak preservation and the time distance biasing is based on the received value corresponding to the adjustable control element.
摘要翻译：接收对应于可调控制元件的值。预测数据是根据季节性数据计算的，其中计算是根据季节性数据中的峰值的保存和应用时间距离偏差，其中季节性数据中更近的数据点被加权高于较近的数据点。峰值保持和时间距离偏置的相对权重基于对应于可调节控制元件的接收值。

3. 发明授权

US09230262B2 Smoothed visualization having rings containing pixels representing unevenly spaced data 有权
标题翻译：平滑可视化具有包含表示不均匀间隔数据的像素的环
公开(公告)号：US09230262B2
公开(公告)日：2016-01-05
申请号：US13456297
申请日：2012-04-26
申请人： Ming C. Hao , Soma Sundaram Santhiveeran , Sebastian Mittelstädt , Umeshwar Dayal , Daniel Keim
发明人： Ming C. Hao , Soma Sundaram Santhiveeran , Sebastian Mittelstädt , Umeshwar Dayal , Daniel Keim
IPC分类号： G06T11/20 , G06Q30/02 , G09G5/02
CPC分类号： G06Q30/02 , G06T11/206 , G09G5/02
摘要： Unevenly spaced data records are received over time. A smoothed graphical visualization has a plurality of discrete rings to allow for detection of periodical patterns in the data records, where the discrete rings correspond to plural time periods and contain pixels representing values of an attribute of the data records. Visual indicators are assigned to the corresponding pixels, where a first of a visual indicators for a first time interval that is missing a data record is based on aggregating values of the attribute of neighboring data records, and where a second of the visual indicators for a second time interval having multiple data records is based on aggregating values of the attribute of the multiple data records.
摘要翻译：随着时间的推移收到不均匀的数据记录。平滑的图形可视化具有多个离散环，以允许检测数据记录中的周期性模式，其中离散环对应于多个时间段，并且包含表示数据记录的属性值的像素。可视指示符被分配给对应的像素，其中缺少数据记录的第一时间间隔的第一视觉指示符是基于相邻数据记录的属性的聚合值，并且其中第二视觉指示符具有多个数据记录的第二时间间隔基于多个数据记录的属性的聚合值。

4. 发明授权

US08896605B2 Providing an ellipsoid having a characteristic based on local correlation of attributes 有权
标题翻译：提供基于属性的局部相关性的具有特征的椭球
公开(公告)号：US08896605B2
公开(公告)日：2014-11-25
申请号：US13268050
申请日：2011-10-07
申请人： Ming C. Hao , Umeshwar Dayal , Daniel Keim , Halldór Janetzko , Sabastian Mittelstadt
发明人： Ming C. Hao , Umeshwar Dayal , Daniel Keim , Halldór Janetzko , Sabastian Mittelstadt
IPC分类号： G06T11/20
CPC分类号： G06T11/203
摘要： Data records are grouped into clusters according to attributes of the data records to be correlated. At least two of the clusters that satisfy a proximity criterion are merged. At least one ellipsoid is created for presentation in a scatter plot visualization based on the grouping and merging, the ellipsoid including pixels representing multiple corresponding data records. The ellipsoid has a characteristic based on a corresponding local correlation of the attributes of the data records represented by the ellipsoid. The characteristic of the ellipsoid is adjusted based on a direction of the local correlation.
摘要翻译：数据记录根据要相关的数据记录的属性分组成簇。满足接近度标准的至少两个群集合并。基于分组和合并，至少一个椭球被创建用于在散点图可视化中呈现，所述椭球包括表示多个相应数据记录的像素。椭圆体具有基于由椭球表示的数据记录的属性的对应的局部相关性的特征。基于局部相关的方向调整椭球的特征。

5. 发明申请

US20130278623A1 PROVIDING A CORRELATION RING FOR INDICATING CORRELATION BETWEEN ATTRIBUTES 审中-公开
标题翻译：提供用于指示属性之间的相关性的相关环
公开(公告)号：US20130278623A1
公开(公告)日：2013-10-24
申请号：US13450598
申请日：2012-04-19
申请人： MING C. HAO , Manish Marwah , Umeshwar Dayal , Cullen E. Bash , Sebastian Mittelstädt , Halldór Janetzko , Daniel Keim , Yuan Chen , Chandrakant Patel , Meichun Hsu
发明人： MING C. HAO , Manish Marwah , Umeshwar Dayal , Cullen E. Bash , Sebastian Mittelstädt , Halldór Janetzko , Daniel Keim , Yuan Chen , Chandrakant Patel , Meichun Hsu
IPC分类号： G09G5/00
CPC分类号： G09G5/00 , G09G2340/14
摘要： Pixels representing attributes of data records are into discrete rings of a graphical visualization, where the discrete rings correspond to respective ones of the attributes, and where the pixels are arranged in each of the discrete rings according to time intervals of the data records. A correlation ring is provided in the graphical visualization in addition to the discrete rings, where the correlation ring has visual indicators for indicating degrees of correlation between at least two of the attributes.
摘要翻译：表示数据记录的属性的像素是图形可视化的离散环，其中离散环对应于属性中的相应属性，并且其中像素根据数据记录的时间间隔排列在每个离散环中。除了离散环之外，在图形可视化中提供相关环，其中相关环具有用于指示至少两个属性之间的相关度的视觉指示符。

6. 发明申请

US20130103616A1 Computing Predicted Data According to Weighted Peak Preservation and Time Distance Biasing 有权
标题翻译：根据加权峰值保持和时间距离偏移计算预测数据
公开(公告)号：US20130103616A1
公开(公告)日：2013-04-25
申请号：US13278572
申请日：2011-10-21
申请人： Ming C. Hao , Umeshwar Dayal , Daniel Keim , Walter Hill , Sabastian Mittelstädt , Halldór Janetzko
发明人： Ming C. Hao , Umeshwar Dayal , Daniel Keim , Walter Hill , Sabastian Mittelstädt , Halldór Janetzko
IPC分类号： G06N5/02 , G06F3/048
CPC分类号： G06N5/04 , G06F11/3062 , G06F11/3072 , G06Q10/04 , G09B7/04
摘要： A value corresponding to an adjustable control element is received. Predicted data is computed from seasonal data, where the computing is according to applying preservation of peaks in the seasonal data and applying time distance biasing in which more recent data points in the seasonal data are weighted higher than less recent data points. Relative weighting of the peak preservation and the time distance biasing is based on the received value corresponding to the adjustable control element.
摘要翻译：接收对应于可调控制元件的值。预测数据是根据季节性数据计算的，其中计算是根据季节性数据中的峰值的保存和应用时间距离偏差，其中季节性数据中更近的数据点被加权高于较近的数据点。峰值保持和时间距离偏置的相对权重基于对应于可调节控制元件的接收值。

7. 发明授权

US07737998B1 System and method for contiguous images from polygons 失效
标题翻译：来自多边形的连续图像的系统和方法
公开(公告)号：US07737998B1
公开(公告)日：2010-06-15
申请号：US11857097
申请日：2007-09-18
申请人： Daniel Keim , Stephen Charles North , Christian Panse
发明人： Daniel Keim , Stephen Charles North , Christian Panse
IPC分类号： G09G5/00 , G06T11/20
CPC分类号： G09B29/005 , G09B29/00 , G09B29/001
摘要： A system, method and computer-readable media are disclosed for generating an image from another image of contiguous polygons and a vector containing values to which areas of corresponding polygons are scaled. The method embodiment relates to generating an image from a plurality of contiguous polygons having vertices. The method comprises calculating a shape value associated with a polygon, calculating an altered shape value associated with an altered polygon, the altered polygon being an altered version of the polygon, calculating a shape distortion by comparing the shape value and the altered shape value and determining whether to accept the altered polygon based on the calculated shape distortion.
摘要翻译：公开了用于从邻接多边形的另一图像生成图像的系统，方法和计算机可读介质，以及包含对应多边形的区域进行缩放的值的向量。方法实施例涉及从具有顶点的多个相邻多边形生成图像。该方法包括计算与多边形相关联的形状值，计算与改变的多边形相关联的改变的形状值，改变的多边形是多边形的改变版本，通过比较形状值和改变的形状值来计算形状失真，并确定是否基于计算出的形状失真来接受改变的多边形。

8. 发明授权

US07221474B2 Method for visualizing large volumes of multiple-attribute data without aggregation using a pixel bar chart 有权
标题翻译：使用像素条形图可视化大量多个属性数据而不进行聚合的方法
公开(公告)号：US07221474B2
公开(公告)日：2007-05-22
申请号：US09917393
申请日：2001-07-27
申请人： Ming C. Hao , Julian Ladisch , Umeshwar Dayal , Meichun Hsu , Daniel Keim
发明人： Ming C. Hao , Julian Ladisch , Umeshwar Dayal , Meichun Hsu , Daniel Keim
IPC分类号： G06K15/00
CPC分类号： G06T11/206
摘要： A method for graphically presenting large volumes of data without aggregation using a pixel bar chart. Records having multiple attributes are sorted for constructing a graphically displayable array, wherein the graphically displayable array comprises a plurality of pixels. Each pixel represents one record. The non-aggregation data visualization technique of the present invention provides solutions to meet the need of automatic data preparation for the visual data mining of massive data volumes. The present invention effectively uses screen space to represent each record without cluttering the display, allowing a user to easily discover patterns and correlations. The present invention provides a visual impression by representing the value of a record by a color and representing the number of records by the area of a group. With “drill down” capability, a user can navigate through each record to find detail information. Each record is represented by one pixel, allowing millions of records to be displayed at the same time. Each individual record can be accessed interactively, by allowing direct access to the detail data by picking at single pixels.
摘要翻译：使用像素条形图图形化地呈现大量数据而不进行聚合的方法。对具有多个属性的记录进行排序以构建图形可显示阵列，其中图形可显示阵列包括多个像素。每个像素代表一个记录。本发明的非聚合数据可视化技术提供了满足大量数据量的视觉数据挖掘的自动数据准备的需要的解决方案。本发明有效地使用屏幕空间来表示每个记录而不会使显示器混乱，从而允许用户容易地发现图案和相关性。本发明通过用颜色表示记录的值并且通过组的区域表示记录的数量来提供视觉印象。通过“下钻”功能，用户可以浏览每个记录以查找详细信息。每个记录由一个像素表示，允许同时显示数百万条记录。可以通过交互方式来访问每个单独的记录，方法是通过单个像素选择直接访问细节数据。

9. 发明授权

US09529899B2 Visualizing motifs with visual structures 有权
标题翻译：用可视化结构可视化图案
公开(公告)号：US09529899B2
公开(公告)日：2016-12-27
申请号：US12924870
申请日：2010-10-07
申请人： Ming C. Hao , Manish Marwah , Umeshwar Dayal , Halldór Janetzko , Ratnesh Kumar Sharma , Daniel Keim
发明人： Ming C. Hao , Manish Marwah , Umeshwar Dayal , Halldór Janetzko , Ratnesh Kumar Sharma , Daniel Keim
IPC分类号： G06F3/00 , G06F9/00 , G06F17/00 , G06F17/30
CPC分类号： G06F17/30716
摘要： Visual structures are produced to represent corresponding motifs, where the motifs correspond to repeating patterns in an input data set, where sizes of the visual structures are based on values of a characteristic associated with the motifs, and where a first of the motifs is nested within a second of the motifs to represent a hierarchical relationship of the patterns represented by the first and second motifs. The visual structures of corresponding motifs are presented for display in a visualization screen, where the visualization screen depicts the data in the input data set with the visual structures overlapping parts of depicted data. Interactive input is received specifying modification of a region containing motifs, wherein the specified modification includes interactive distortion of the visual structures in the region to change a size of the visual structures in the region.
摘要翻译：产生视觉结构以表示对应的图案，其中图案对应于输入数据集中的重复图案，其中视觉结构的尺寸基于与图案相关联的特征的值，并且其中第一个图案嵌套在第二个图案表示由第一和第二图案表示的图案的层次关系。相应图案的视觉结构被呈现以在可视化屏幕中显示，其中可视化屏幕描绘输入数据集中的数据，其中视觉结构与描绘的数据的部分重叠。接收交互式输入，指定包含图案的区域的修改，其中指定的修改包括该区域中的视觉结构的交互失真以改变该区域中的视觉结构的大小。

10. 发明授权

US08972308B2 Combining multivariate time-series prediction with motif discovery 有权
标题翻译：将多变量时间序列预测与基序发现相结合
公开(公告)号：US08972308B2
公开(公告)日：2015-03-03
申请号：US13284990
申请日：2011-10-31
申请人： Ming C Hao , Umeshwar Dayal , Manish Marwah , Daniel Keim , Halldor Janetzko
发明人： Ming C Hao , Umeshwar Dayal , Manish Marwah , Daniel Keim , Halldor Janetzko
IPC分类号： G06F15/18 , G06F17/00 , G06N5/02 , G06K9/00
CPC分类号： G06F17/00 , G06K9/0055 , G06N5/02
摘要： Multivariate time-series prediction is combined with motif discovery. Multivariate time-series prediction is performed on measured (past) data points to generate or determine predicted data points. One or more motifs are discovered or determined within the combined measured data points and the predicted data points. The motifs within the measured data points are associated with the motifs within the predicted data points to permit inferences of the motifs within the measured data points to be applied to the motifs within the predicted data points. The measured data points, the predicted data points, and the motifs are displayed. User interaction with this display of the measured data points, the predicted data points, and the motifs is permitted.
摘要翻译：多元时间序列预测与图案发现相结合。对测量（过去）数据点执行多变量时间序列预测，以生成或确定预测数据点。在组合的测量数据点和预测数据点内发现或确定一个或多个基序。测量数据点内的图案与预测数据点内的图案相关联，以允许测量数据点内的图案的推断，以应用于预测数据点内的图案。显示测量数据点，预测数据点和图案。用户与测量数据点，预测数据点和图案的显示的交互是允许的。

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