Patents by Inventor Daniel A. Keim
Daniel A. Keim has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20210405989Abstract: A method is for transferring a software installation procedure onto a medical device. In an embodiment, the method includes providing an image on a transmit system via a computing unit of the transmit system, the image including a visual depiction based on the installation procedure; optically transferring the image from the transmit system onto the medical device; and determining the installation procedure on the medical device based upon the visual depiction of the image via a computing unit of the medical device.Type: ApplicationFiled: June 23, 2021Publication date: December 30, 2021Applicant: Siemens Healthcare GmbHInventors: Friedrich HEGENDOERFER, Andre DE OLIVEIRA, Daniel KEIM, Roland EMRICH, Marco MANCHINU, Florian HAGER, Martin KORINTH
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Patent number: 10699449Abstract: 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.Type: GrantFiled: March 17, 2015Date of Patent: June 30, 2020Assignee: Hewlett-Packard Development Company, L.P.Inventors: Ming C Hao, Dominik Jackle, Nelson L Chang, Wei-Nchih Lee, Daniel Keim
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Patent number: 10698910Abstract: Automated weighting is performed that includes transforming a behavior of each respective dimension of multiple dimensions of a selected group of events to a respective weight, the respective weight determined based on a distribution of values of the respective dimension, and where the weight determined for a first of the plurality of dimensions is greater than the weight determined for a second of the plurality of dimensions. Similarity values are computed indicating similarities between further events and the selected group of events, the similarity values based on a combination of the weights and distances between the further events and the selected group of events. Cohorts of the further events are generated by performing multi-level ranking that comprises ranking groups of the further events based on the similarity values, and applying merging to the groups to produce merged groups. The cohorts are visualized in a graphical visualization.Type: GrantFiled: October 9, 2015Date of Patent: June 30, 2020Assignee: MICRO FOCUS LLCInventors: Ming C. Hao, Nelson L. Chang, Justin Aaron Scaggs, Felix Hamborg, Daniel Keim
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Patent number: 10628412Abstract: 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.Type: GrantFiled: February 20, 2015Date of Patent: April 21, 2020Assignee: Hewlett-Packard Development Company, L.P.Inventors: Ming C. Hao, Michael Hund, Wei-Nchih Lee, Nelson L. Chang, Daniel Keim, Kevin Smathers, Jishang Wei
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Patent number: 10614094Abstract: A technique for visualizing topics includes depicting topic bubbles including pixels. In one example, selected topics are identified from records based on scoring candidate terms in the records according to a user-specified metric and a 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 including bubbles representing topics, the bubbles including pixels representing corresponding records. A bubble has a shape dependent upon a number of records and a time interval represented by the bubble. Visual indicators are assigned to the pixels in a given bubble according to values of an attribute expressed in the corresponding records for the topic represented by the given bubble, resulting in the analysis of the selected topics being less time consuming and labor intensive.Type: GrantFiled: April 30, 2014Date of Patent: April 7, 2020Assignee: MICRO FOCUS LLCInventors: Ming C. Hao, Michael Hund, Christian Rohrdantz, Riddhiman Ghosh, Nelson L. Chang, Meichun Hsu, Daniel Keim
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Patent number: 10509800Abstract: 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.Type: GrantFiled: January 23, 2015Date of Patent: December 17, 2019Assignee: Hewlett-Packard Development Company, L.P.Inventors: Ming C Hao, Wei-Nchih Lee, Nelson L Chang, Michael Hund, Daniel Keim
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Publication number: 20190065503Abstract: Automated weighting is performed that includes transforming a behavior of each respective dimension of multiple dimensions of a selected group of events to a respective weight, the respective weight determined based on a distribution of values of the respective dimension, and where the weight determined for a first of the plurality of dimensions is greater than the weight determined for a second of the plurality of dimensions. Similarity values are computed indicating similarities between further events and the selected group of events, the similarity values based on a combination of the weights and distances between the further events and the selected group of events. Cohorts of the further events are generated by performing multi-level ranking that comprises ranking groups of the further events based on the similarity values, and applying merging to the groups to produce merged groups. The cohorts are visualized in a graphical visualization.Type: ApplicationFiled: October 9, 2015Publication date: February 28, 2019Inventors: Ming C. Hao, Nelson L. Chang, Justin Aaron Scaggs, Felix Hamborg, Daniel Keim
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Patent number: 10198833Abstract: 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.Type: GrantFiled: December 17, 2015Date of Patent: February 5, 2019Assignee: ENTIT SOFTWARE LLCInventors: Ming C Hao, Michael Hund, Wei-Nchih Lee, Halldor Janetzko, Nelson L. Chang, Daniel Keim, Sebastian Mittelstaedt
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Patent number: 9946959Abstract: 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.Type: GrantFiled: April 30, 2014Date of Patent: April 17, 2018Assignee: ENTIT SOFTWARE LLCInventors: Ming C. Hao, Wei-Nchih Lee, Alexander Jaeger, Nelson L. Chang, Daniel Keim
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Publication number: 20180011850Abstract: 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.Type: ApplicationFiled: March 17, 2015Publication date: January 11, 2018Inventors: Ming C. Hao, Dominik Jackle, Wei-Nchih Lee, Nelson L. Chang, Daniel Keim, Justin Aaron Scaggs
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Publication number: 20180005419Abstract: Visually interactive and iterative analysis of data patterns by a user is disclosed. One example is a system including a display module and an interaction processor. The display module displays, via an interactive graphical user interface, a visual representation of a plurality of data elements and respective data relations between the data elements, and wherein each data element is represented by pixel attributes of a pixel. The interaction processor iteratively and interactively processes analysis by a user based on identifying selection, by the user, of an arbitrarily shaped region of the visual representation, clipping the selected region by zooming in to the selected region, identifying, in the clipped region, selection of data elements of interest to the user, and prompting the display module to automatically blur visual representations of data elements different from the data elements of interest by modifying the pixel attributes of respective pixels.Type: ApplicationFiled: January 26, 2015Publication date: January 4, 2018Inventors: MING C HAO, MICHAEL HUND, NELSON L CHANG, HALLDOR JANETZKO, SABASTIAN MITTELSTAEDT, KEVIN SMATHERS, DANIEL KEIM, DORON SHAKED, JISHANG WEI
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Publication number: 20180004803Abstract: 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.Type: ApplicationFiled: February 20, 2015Publication date: January 4, 2018Inventors: Ming C. Hao, Michael Hund, Wei-Nchih Lee, Nelson L. Chang, Daniel Keim, Kevin Smathers, Jishang Wei
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Publication number: 20170365079Abstract: 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.Type: ApplicationFiled: March 17, 2015Publication date: December 21, 2017Inventors: Ming C HAO, Dominik JACKLE, Nelson L CHANG, Wei-Nchih LEE, Daniel KEIM
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Publication number: 20170316071Abstract: 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.Type: ApplicationFiled: January 23, 2015Publication date: November 2, 2017Inventors: MING C HAO, WEI-NCHIH LEE, NELSON L. CHANG, MICHAEL HUND, DANIEL KEIM
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Patent number: 9779524Abstract: 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.Type: GrantFiled: January 21, 2013Date of Patent: October 3, 2017Assignee: Hewlett Packard Enterprise Development LPInventors: Ming C. Hao, Sebastian Mittelstaedt, Umeshwar Dayal, Meichun Hsu, Daniel Keim
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Patent number: 9679401Abstract: 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.Type: GrantFiled: March 30, 2010Date of Patent: June 13, 2017Assignee: Hewlett Packard Enterprise Development LPInventors: Ming C. Hao, Umeshwar Dayal, Daniel Keim, Halldor Janetzko, Walter Hill
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Publication number: 20170046597Abstract: 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.Type: ApplicationFiled: April 30, 2014Publication date: February 16, 2017Inventors: Ming C. Hao, Wei-Nchih Lee, Alexander Jaeger, Nelson L. Chang, Daniel Keim
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Patent number: 9568502Abstract: Example embodiments relate to providing visual analytics of spatial time series data. In example embodiments, sensors may be located at regions within a building for collecting sensor data at regular time intervals. A sensor hierarchy can be generated including sensor nodes that are hierarchically arranged according to a physical infrastructure of the building, where each of the sensor nodes corresponds to a sensor. Sensor data can be obtained from the sensors, and a pixel calendar tree can be generated based on the sensor data and the sensor hierarchy, where the pixel calendar tree is recursively subdivided into tree portions according to a proportion of the sensor data attributable to each of the sensors. The pixel calendar tree can be displayed, where each of the tree portions includes time series sensor data of a corresponding region that is generated based on the sensor data.Type: GrantFiled: June 6, 2013Date of Patent: February 14, 2017Assignee: Hewlett Packard Enterprise Development LPInventors: Ming C Hao, Halldor Janetzko, Manish Marwah, Umeshwar Dayal, Meichun Hsu, Daniel Keim
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Patent number: 9529899Abstract: 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.Type: GrantFiled: October 7, 2010Date of Patent: December 27, 2016Assignee: Hewlett Packard Enterprise Development LPInventors: Ming C. Hao, Manish Marwah, Umeshwar Dayal, Halldór Janetzko, Ratnesh Kumar Sharma, Daniel Keim
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Publication number: 20160371350Abstract: 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.Type: ApplicationFiled: April 30, 2014Publication date: December 22, 2016Inventors: Ming C. Hao, Michael Hund, Christian Rohrdantz, Riddhiman Ghosh, Nelson L. Chang, Meichun Hsu, Daniel Keim