Microsoft Technology Licensing, LLC

Danyel Aharon Fisher

Steven Mark Drucker

Roland Lucas Fernandez

George G Robertson

Bongshin Lee

John Carlton Platt

Jonathan David Goldstein

Alice Jane Bernheim Brush

Badrish Chandramouli

Murali R Krishnan

Chi Wang

Robert Anthony DeLine

Bolin Ding

Christian Olaf Abeln

Stella Yick Chan

Mike Barnett

Jessica P Herron

Monica M C Schraefel

Robyn Dominik Moritz

Ramik Sadana

Gur Kimchi

Matthew Jay Kotler

Mary P Czerwinski

Jonathan Ryan Howell

Sumit Basu

Jeremy Eric Elson

Arnd Christian König

Jason Joseph Weber

Brian L Welcker

B Scott Ruble

Christian Bernd Schormann

Michael Victor Ehrenberg

Lev Boris Nachmanson

Jakob Peter Nielsen

Aaron C Hoff

William Guthrie Morein

Avneesh Sud

Benjamin L Chronister

Morten Holm-Peterson

Ahmed K Kamal

John R Douceur

Albert Gordon Greenberg

Curtis Glenn Wong

Daniel Chaim Robbins

Benjamin Edward Rampson

Gonzalo Alberto Ramos

John C Tang

Michael Gamon

Trishul A Chilimbi

Greg D Schechter

Gina Danielle Venolia

Asta Jane Roseway

Hao Lu

Xiaoji Chen

Denis X Charles

Andrew W Jacobs

Brian Scott Ruble

Jian Zhao

David Francis Gainer

Saleema Amin Amershi

Chandrasekhar Thota

Ryan Edward Gregg

Jason C Mayans

Alice Zheng

Marc A Smith

Kori Inkpen Quinn

Timothy Garry Dwyer

Vikram Padmakar Bapat

Morten Holm-Petersen

Duncan Murray Lawler

Donald Brinkman

Matthew Francis Hurst

Heather E Warncke

Xiaoyu Wang

Paul Johns

Oscar Pawel Kozlowski

Andrew John Sullivan

Keith Robert Kinnan

Joshua W Lee

Dave Maltz

Carman G Neustaedter

Barry James Givens

Ian Michael Dunmore

Alexandre Gorev

Shuo-Hsien Hsiao

Shawn Lee Morrissey

Rich Caruana

Anson An-Chun Tsao

George R Robertson

Nathan Paul McCoy

Thomas Michael Casey

David M Andrzejewski

Mikkel Ronne Jakobsen

Olga Kulyk

Kipper V Jewsbury

Aaron W H Con

Todd Kulesza

Andrea Elaina Grimes

Robert Scott Silverstein

Jaya Bhatia

A stroller includes a support frame mounted on pneumatic tires that allow the stroller to easily traverse irregular or soft terrain. The support frame includes a handlebar assembly having a hammock-style seat mounted thereon. A canopy suspended above the seat contains integral speakers for streaming music from an electronic device and light strings for illuminating a seated child. The seat also includes a heater and a cooling fan for comforting a seated child during extreme temperatures.

Stroller

The described implementations relate to processing of electronic data. One implementation is manifest as a technique that can include obtaining a relational query that references one or more data items and associating progress intervals with the data items. The technique can also include converting the relational query into a corresponding streaming query, and providing the streaming query and the data items with the progress intervals to a stream engine that produces incremental results of the query. For example, the progress intervals can be based on row numbers of a relational database table. The progress intervals can be used to define event lifetimes of streaming events that are provided as inputs to the stream engine.

Progressive query computation using streaming architectures

Methods, systems, and computer programs are presented for obtaining histogram data from a database utilizing an interface with histogram-related options. One method includes an operation for providing, by a server, an application programming interface (API), to access the database, which includes a histogram request, to obtain histogram data from the database, with histogram options. The server receives, from a client device, a first histogram request including histogram options. Additionally, the method includes an operation for identifying bins for the histogram based on the one or more histogram options. For each bin, the server accesses the database to obtain data for each bin. The server returns, to the client device, the histogram data for the histogram as a table containing bin values for all the bins, where the client device is configured to present the histogram to a user based on the histogram data.

Database query for histograms

Techniques for presenting data visualizations are described. Consistent with some embodiments of the present invention, a data visualization system includes an approximate query engine to derive approximate query results and present approximate data visualizations, in interactive time. The data visualization system also includes a precise query engine, thereby enabling a data analyst to selectively request that a precise query result be generated for a specific query, so that the data analyst can confirm a data observation made when viewing the approximate visualization for that specific query. The precise visualization is presented in a manner that allows the data analyst to view, and thus confirm or disprove, a data observation recorded when viewing the approximate visualization, and also compare the precise visualization with the previously generated and presented approximate visualization.

Fast approximate results and slow precise results

A visualization system suitable for visualizing differences between data sets is provided. The system determines a first data set and a second data set along with a difference between the first and second data set. A value corresponding to each unit of display of the second data set is plotted on at least one graph. The visualization system determines, for each unit of display of the second data set, whether the first data set has a value for the unit of display. In response to the first data set having the value, the visualization system plots a difference of the value of the first data set on the at least one graph. In response to the first data set not having the value, the visualization system plots a missing structure element on the at least one graph. The at least one graph is displayed to a user.

Difference visualization between data sets

Functionality is described herein for directly interacting with parts of a data visualization. For instance, the functionality allows a user to directly interact with data items to filter them out from the data visualization, and later restore them to the data visualization. The functionality also allows a user to directly interact with an axis to sort the data items in the data visualization. The functionality also allows a user to directly interact with a label of the data visualization to choose a new label, and to reorganize the information represented by the data visualization in response thereto. Further, before finalizing any update to the data visualization, the functionality may provide a preview of the updated data visualization.

Gestures involving direct interaction with a data visualization

A system, method, and media are provided for generating a structured labeling graphical user interface. The user interface receives user input that associates multimedia content with categories. The user input may include user-supplied tags that further define the category for the multimedia content. The user-supplied tags are rendered proximate to the categories. In turn, a database logs user events to store, among other things, the categories, the user-supplied tags, time associated with completing the user-supplied tags, and time for associating multimedia content with the categories or tags.

Structured labeling to facilitate concept evolution in machine learning

A system (and corresponding methodology) by which a user can interact directly with visual data is provided. The system employs associations and relationships between visual data objects to automatically update objects based upon a change in other objects. The innovation also provides specialized controls (e.g., dashboard tools/controls) that facilitate manipulation of visual data. As there can be numerous manners in which a user can interact with visualization data, the innovation enables a specialized set of controls to be identified and provided to a user thereby reducing overwhelming effects of a large number of controls.

Dashboard controls to manipulate visual data

Multivariate data that includes data records may be obtained, each of the data records represented as data values of data attribute variables. A cardinality of the data records is substantially large. A display layout template representing a collectivized visualization of dataset points is obtained, the collectivized visualization logically associated with a set of the data attribute variables, from a perspective of a user viewer. An individualized particulate display representation for each of the data records is determined, based on a portion of the data values associated with each respective data record. The individualized particulate display representation includes a discrete, individually selectable particulate shape and a display location relative to geometric bounds logically associated with the template. Display of the individualized particulate display representations is initiated in accordance with the template.

Particle based visualizations of abstract information

A system described herein includes a receiver component that receives a tree-structured dataset that includes multiple branches that are hierarchically related to one another. The system also includes an executor component that causes a programmable graphical processing unit to generate a Voronoi treemap based at least in part upon the tree-structured dataset, wherein the Voronoi treemap comprises a plurality of subareas that correspond to the multiple branches, and wherein the Voronoi treemap represents hierarchical relationships between the multiple branches.

Generating Voronoi treemaps

Incremental query results and confidence interval values associated with respective incremental query results may be obtained. Visualization shape objects indicating uncertainty values may be determined, based on mapping values of respective incremental query results and confidence interval values to points in the associated visualization shape objects, the uncertainty values visualized based on proportional shapes of the visualization shape objects. At least one visualization comparison object representing a comparison of a plurality of distributions associated with the obtained incremental query results and confidence interval values may be determined. Display of the plurality of visualization shape objects and the at least one visualization comparison object may be initiated.

Visualization of changing confidence intervals

Growing community of inventors

Seattle, WA, United States of America

Danyel Aharon Fisher