Patents by Inventor Ming C. Hao

Ming C. Hao 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).

  • Patent number: 10698910
    Abstract: 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: Grant
    Filed: October 9, 2015
    Date of Patent: June 30, 2020
    Assignee: MICRO FOCUS LLC
    Inventors: Ming C. Hao, Nelson L. Chang, Justin Aaron Scaggs, Felix Hamborg, Daniel Keim
  • Patent number: 10699449
    Abstract: 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: Grant
    Filed: March 17, 2015
    Date of Patent: June 30, 2020
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Ming C Hao, Dominik Jackle, Nelson L Chang, Wei-Nchih Lee, Daniel Keim
  • Patent number: 10628412
    Abstract: 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: Grant
    Filed: February 20, 2015
    Date of Patent: April 21, 2020
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Ming C. Hao, Michael Hund, Wei-Nchih Lee, Nelson L. Chang, Daniel Keim, Kevin Smathers, Jishang Wei
  • Patent number: 10614094
    Abstract: 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: Grant
    Filed: April 30, 2014
    Date of Patent: April 7, 2020
    Assignee: MICRO FOCUS LLC
    Inventors: Ming C. Hao, Michael Hund, Christian Rohrdantz, Riddhiman Ghosh, Nelson L. Chang, Meichun Hsu, Daniel Keim
  • Patent number: 10509800
    Abstract: 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: Grant
    Filed: January 23, 2015
    Date of Patent: December 17, 2019
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Ming C Hao, Wei-Nchih Lee, Nelson L Chang, Michael Hund, Daniel Keim
  • Publication number: 20190065503
    Abstract: 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: Application
    Filed: October 9, 2015
    Publication date: February 28, 2019
    Inventors: Ming C. Hao, Nelson L. Chang, Justin Aaron Scaggs, Felix Hamborg, Daniel Keim
  • Patent number: 10198833
    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.
    Type: Grant
    Filed: December 17, 2015
    Date of Patent: February 5, 2019
    Assignee: ENTIT SOFTWARE LLC
    Inventors: Ming C Hao, Michael Hund, Wei-Nchih Lee, Halldor Janetzko, Nelson L. Chang, Daniel Keim, Sebastian Mittelstaedt
  • Patent number: 10198158
    Abstract: A pattern of geocoded pixels is generated by accessing data point values, where each data point value includes an attribute value and coordinates of a geographic location. Each data point value corresponds to a geocoded pixel that is positioned on the pattern based on the coordinates of the data point value such some geocoded pixels overlap other geocoded pixels. Different levels of the pattern of geocoded pixels correspond to a different degree of overlap between the geocoded pixels. The different levels of the pattern of geocoded pixels are associated with different magnification levels of a geographic map such that changing a magnification level of the geographic map causes a degree of overlap between the geocoded pixels of the pattern to change.
    Type: Grant
    Filed: July 19, 2013
    Date of Patent: February 5, 2019
    Assignee: ENTIT SOFTWARE LLC
    Inventors: Ming C Hao, Halldor Janetzko, Umeshwar Dayal, Meichun Hsu
  • Patent number: 9946959
    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.
    Type: Grant
    Filed: April 30, 2014
    Date of Patent: April 17, 2018
    Assignee: ENTIT SOFTWARE LLC
    Inventors: Ming C. Hao, Wei-Nchih Lee, Alexander Jaeger, Nelson L. Chang, Daniel Keim
  • Patent number: 9880086
    Abstract: Non-overlapping visualization of data records of a scatter plot is provided by providing rows and columns in a visualization screen containing cells representing respective data records. The rows correspond to value ranges of a first attribute, and the columns correspond to value ranges of a second attribute. The value ranges are automatically generated for the rows and columns from data values of the data records.
    Type: Grant
    Filed: October 28, 2008
    Date of Patent: January 30, 2018
    Assignee: EntIT Software LLC
    Inventors: Ming C. Hao, Umeshwar Dayal, Alex X. Zhang
  • Publication number: 20180011850
    Abstract: 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: Application
    Filed: March 17, 2015
    Publication date: January 11, 2018
    Inventors: Ming C. Hao, Dominik Jackle, Wei-Nchih Lee, Nelson L. Chang, Daniel Keim, Justin Aaron Scaggs
  • Publication number: 20180004820
    Abstract: A unified visualization interface is disclosed. One example is a system including an association module, a multicasting module, a data sharing module, and a unified visualization interface. The association module associates an identified event in a first visualization system with a visualization function. The multicasting module stores event data related to the identified event and the associated visualization function in a shared data source, and multicasts the identified event to a second visualization system. The data sharing module associates the event data with characteristics of the first visualization system, and shares, in response to the multicast of the identified event, the shared data source with the second visualization system.
    Type: Application
    Filed: February 20, 2015
    Publication date: January 4, 2018
    Inventors: MING C HAO, MICHAEL HUND, NELSON L CHANG, RIDDHIMAN GHOSH, GREGORY WILLIAM COOK, KEVIN SMATHERS, ARUN KUMAR PARUCHURI, RENATO KESHET
  • Publication number: 20180004803
    Abstract: 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: Application
    Filed: February 20, 2015
    Publication date: January 4, 2018
    Inventors: Ming C. Hao, Michael Hund, Wei-Nchih Lee, Nelson L. Chang, Daniel Keim, Kevin Smathers, Jishang Wei
  • Publication number: 20180005419
    Abstract: 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: Application
    Filed: January 26, 2015
    Publication date: January 4, 2018
    Inventors: MING C HAO, MICHAEL HUND, NELSON L CHANG, HALLDOR JANETZKO, SABASTIAN MITTELSTAEDT, KEVIN SMATHERS, DANIEL KEIM, DORON SHAKED, JISHANG WEI
  • Publication number: 20170365079
    Abstract: 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: Application
    Filed: March 17, 2015
    Publication date: December 21, 2017
    Inventors: Ming C HAO, Dominik JACKLE, Nelson L CHANG, Wei-Nchih LEE, Daniel KEIM
  • Publication number: 20170316071
    Abstract: 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: Application
    Filed: January 23, 2015
    Publication date: November 2, 2017
    Inventors: MING C HAO, WEI-NCHIH LEE, NELSON L. CHANG, MICHAEL HUND, DANIEL KEIM
  • Patent number: 9792377
    Abstract: An event occurring in a particular geographic region is identified based on disseminated information containing public commentary in the particular geographic region. Attributes that are related to the event are identified, and sentiment words relating to the identified event are extracted from the disseminated information, where the extracted sentiment words are in a local language of the particular geographic region. A sentiment trend visualization is generated that depicts a trend of sentiments of at least a particular one of the identified attributes, wherein the sentiments are based on the sentiment words for at least the particular attribute.
    Type: Grant
    Filed: June 8, 2011
    Date of Patent: October 17, 2017
    Assignee: Hewlett Packard Enterprise Development LP
    Inventors: Ming C Hao, Umeshwar Dayal, Bao-Yao Zhou, Cheng Chang, Meichun Hsu, Mohamed E Dekhil, Riddhiman Ghosh, Christian Rohrdantz
  • Patent number: 9779524
    Abstract: 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: Grant
    Filed: January 21, 2013
    Date of Patent: October 3, 2017
    Assignee: Hewlett Packard Enterprise Development LP
    Inventors: Ming C. Hao, Sebastian Mittelstaedt, Umeshwar Dayal, Meichun Hsu, Daniel Keim
  • Patent number: 9679401
    Abstract: 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: Grant
    Filed: March 30, 2010
    Date of Patent: June 13, 2017
    Assignee: Hewlett Packard Enterprise Development LP
    Inventors: Ming C. Hao, Umeshwar Dayal, Daniel Keim, Halldor Janetzko, Walter Hill
  • Patent number: 9613123
    Abstract: A method of processing a stream of raw data from a plurality of distributed data producing devices includes reducing the raw data to a plurality of representative synopsis coefficients, organizing the synopsis coefficients into a data structure with at least three dimensions, including a time window dimension and an accuracy dimension. Responsive to a detected anomaly in the data structure, at least one of a predetermined autonomous action and an action directed by a user is performed.
    Type: Grant
    Filed: April 13, 2009
    Date of Patent: April 4, 2017
    Assignee: Hewlett Packard Enterprise Development LP
    Inventors: Chetan Kumar Gupta, Song Wang, Ismail Ari, Ming C. Hao, Umeshwar Dayal, Abhay Mehta